From 0e9233948402688b100e982b0e56b64e59b89fa8 Mon Sep 17 00:00:00 2001
From: J Wokaty <jennifer.wokaty@sph.cuny.edu>
Date: Tue, 24 Oct 2023 11:37:33 -0400
Subject: [PATCH 1/4] bump x.y.z version to even y prior to creation of
 RELEASE_3_18 branch

---
 DESCRIPTION | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index c423bc8..b13e910 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: miaSim
 Type: Package
-Version: 1.7.2
+Version: 1.8.0
 Authors@R:
      c(person(given = "Yagmur", family = "Simsek", role = c("cre", "aut"),
               email = "yagmur.simsek.98@gmail.com"),

From c744d000d1f51fc0a9867f775abb5918fb871dd4 Mon Sep 17 00:00:00 2001
From: J Wokaty <jennifer.wokaty@sph.cuny.edu>
Date: Tue, 24 Oct 2023 11:37:33 -0400
Subject: [PATCH 2/4] bump x.y.z version to odd y following creation of
 RELEASE_3_18 branch

---
 DESCRIPTION | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index b13e910..973f851 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: miaSim
 Type: Package
-Version: 1.8.0
+Version: 1.9.0
 Authors@R:
      c(person(given = "Yagmur", family = "Simsek", role = c("cre", "aut"),
               email = "yagmur.simsek.98@gmail.com"),

From 19f1e17e5e82038649e2438befa253c00fd23f6b Mon Sep 17 00:00:00 2001
From: antagomir <leo.lahti@iki.fi>
Date: Mon, 8 Jan 2024 11:26:47 +0200
Subject: [PATCH 3/4] Logo added

---
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diff --git a/DESCRIPTION b/DESCRIPTION
index 46b622a..94955d1 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: miaSim
 Type: Package
-Version: 1.7.8
+Version: 1.9.1
 Authors@R:
      c(person(given = "Yagmur", family = "Simsek", role = c("cre", "aut"),
               email = "yagmur.simsek.98@gmail.com"),
diff --git a/README.Rmd b/README.Rmd
index 4d9ca23..9faf7ca 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -14,18 +14,10 @@
 
 ## miaSim
 
-This miaSim R/Bioconductor package can be used to simulate
-(longitudinal) data for the benchmarking and analysis of quantitative
-models of microbial communities.
-
-For installation and use, see the [Getting
-started](https://microbiome.github.io/miaSim/articles/miaSim.html)
-page.
-
-The package is based on the `(Tree)SummarizedExperiment` data
-container that supports microbiome data analysis. The package
-[homepage](https://microbiome.github.io/miaSim/) provides further
-tutorials and references for the [implemented
+This R/Bioconductor package provides tools to simulate (longitudinal)
+time series data from popular models in microbial ecology. The
+[homepage](https://microbiome.github.io/miaSim/) provides tutorials
+and references for the [implemented
 models](https://microbiome.github.io/miaSim/reference/index.html):
 
 * Self-organised instability (SOI)
@@ -35,7 +27,14 @@ models](https://microbiome.github.io/miaSim/reference/index.html):
 * Stochastic logistic model
 * Consumer-resource model
 
+These methods can be used for _in silico_ studies of microbial
+community dynamics or multi-omic or host-microbiome interactions. The
+miaSim package supports the Bioconductor [multi-assay data science
+framework](https://microbiome.github.io/OMA) for multi-omic data
+integration and time series analysis, and utilizes the
+`(Tree)SummarizedExperiment` data container.
 
+[Getting started](https://microbiome.github.io/miaSim/articles/miaSim.html).
 
 
 ### miaSimShiny
@@ -63,6 +62,13 @@ flow kind of approach. Development version should be done against the
 We are grateful to all
 [contributors](https://github.com/microbiome/miaSim/graphs/contributors).
 
+This research has received funding from
+
+  * the Horizon 2020 Programme of the European Union within the [FindingPheno project](https://www.findingpheno.eu/) under grant agreement No 952914.
+  * Research Council of Finland (grant 330887)
+
+
+<img src="man/figures/FindingPheno2.jpg" alt="FindingPheno logo" style="height: 50px"/>
 
 ### Citing the package
 
@@ -74,12 +80,10 @@ Gao _et al._ (2023). Methods in Ecology and Evolution. DOI:
 For citation details, see R command `citation("miaSim")`.
 
 
-# Code of conduct
-
-Please note that the project is released with a [Bioconductor Code of
-Conduct](https://bioconductor.github.io/bioc_coc_multilingual/).
-By contributing to this project, you agree to abide by its terms.
-
+**Code of conduct** Please note that the project is released with a
+[Bioconductor Code of
+Conduct](https://bioconductor.github.io/bioc_coc_multilingual/).  By
+contributing to this project, you agree to abide by its terms.
 
 
 [github-watch-badge]: https://img.shields.io/github/watchers/microbiome/miaSim.svg?style=social
diff --git a/README.md b/README.md
index 083e6a9..9faf7ca 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,6 @@
 [![Gitter](https://badges.gitter.im/microbiome/mia.svg)](https://gitter.im/microbiome/miaverse)
 [![Watch on GitHub][github-watch-badge]][github-watch]
 [![Star on GitHub][github-star-badge]][github-star]
-
 [![R-CMD-check](https://github.com/microbiome/miaSim/workflows/R-CMD-check/badge.svg)](https://github.com/microbiome/miaSim/actions)
 <!-- badges: end -->
 
@@ -15,18 +14,10 @@
 
 ## miaSim
 
-This miaSim R/Bioconductor package can be used to simulate
-(longitudinal) data for the benchmarking and analysis of quantitative
-models of microbial communities.
-
-For installation and use, see the [Getting
-started](https://microbiome.github.io/miaSim/articles/miaSim.html)
-page.
-
-The package is based on the `(Tree)SummarizedExperiment` data
-container that supports microbiome data analysis. The package
-[homepage](https://microbiome.github.io/miaSim/) provides further
-tutorials and references for the [implemented
+This R/Bioconductor package provides tools to simulate (longitudinal)
+time series data from popular models in microbial ecology. The
+[homepage](https://microbiome.github.io/miaSim/) provides tutorials
+and references for the [implemented
 models](https://microbiome.github.io/miaSim/reference/index.html):
 
 * Self-organised instability (SOI)
@@ -36,7 +27,14 @@ models](https://microbiome.github.io/miaSim/reference/index.html):
 * Stochastic logistic model
 * Consumer-resource model
 
+These methods can be used for _in silico_ studies of microbial
+community dynamics or multi-omic or host-microbiome interactions. The
+miaSim package supports the Bioconductor [multi-assay data science
+framework](https://microbiome.github.io/OMA) for multi-omic data
+integration and time series analysis, and utilizes the
+`(Tree)SummarizedExperiment` data container.
 
+[Getting started](https://microbiome.github.io/miaSim/articles/miaSim.html).
 
 
 ### miaSimShiny
@@ -64,6 +62,13 @@ flow kind of approach. Development version should be done against the
 We are grateful to all
 [contributors](https://github.com/microbiome/miaSim/graphs/contributors).
 
+This research has received funding from
+
+  * the Horizon 2020 Programme of the European Union within the [FindingPheno project](https://www.findingpheno.eu/) under grant agreement No 952914.
+  * Research Council of Finland (grant 330887)
+
+
+<img src="man/figures/FindingPheno2.jpg" alt="FindingPheno logo" style="height: 50px"/>
 
 ### Citing the package
 
@@ -75,12 +80,10 @@ Gao _et al._ (2023). Methods in Ecology and Evolution. DOI:
 For citation details, see R command `citation("miaSim")`.
 
 
-# Code of conduct
-
-Please note that the project is released with a [Bioconductor Code of
-Conduct](https://bioconductor.github.io/bioc_coc_multilingual/).
-By contributing to this project, you agree to abide by its terms.
-
+**Code of conduct** Please note that the project is released with a
+[Bioconductor Code of
+Conduct](https://bioconductor.github.io/bioc_coc_multilingual/).  By
+contributing to this project, you agree to abide by its terms.
 
 
 [github-watch-badge]: https://img.shields.io/github/watchers/microbiome/miaSim.svg?style=social
diff --git a/docs/404.html b/docs/404.html
index 9202a7c..97fe97d 100644
--- a/docs/404.html
+++ b/docs/404.html
@@ -7,8 +7,8 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Page not found (404) • miaSim</title>
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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 <meta property="og:title" content="Page not found (404)">
@@ -25,7 +25,7 @@
     
     <a class="navbar-brand me-2" href="index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -77,7 +77,7 @@
 
 <div class="pkgdown-footer-right">
   <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer>
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index 7ea0c64..40d87c5 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • miaSim</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><link href="extra.css" rel="stylesheet"><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • miaSim</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><link href="extra.css" rel="stylesheet"><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -251,7 +251,7 @@
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 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/articles/index.html b/docs/articles/index.html
index f6bf146..93bfbca 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -58,7 +58,7 @@ <h3>All vignettes</h3>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer></div>
diff --git a/docs/articles/miaSim.html b/docs/articles/miaSim.html
index cb8ac2b..1d8dfa1 100644
--- a/docs/articles/miaSim.html
+++ b/docs/articles/miaSim.html
@@ -8,8 +8,8 @@
 <meta name="description" content="miaSim">
 <title>miaSim: Microbiome Data Simulation • miaSim</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
 <!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet">
 <meta property="og:title" content="miaSim: Microbiome Data Simulation">
@@ -27,7 +27,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -68,7 +68,7 @@
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="" class="logo" alt=""><h1>miaSim: Microbiome Data Simulation</h1>
             
-            <h4 data-toc-skip class="date">2023-08-09</h4>
+            <h4 data-toc-skip class="date">2024-01-08</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/microbiome/miaSim/blob/HEAD/vignettes/miaSim.Rmd" class="external-link"><code>vignettes/miaSim.Rmd</code></a></small>
       <div class="d-none name"><code>miaSim.Rmd</code></div>
@@ -237,59 +237,62 @@ <h2 id="session-info">Session info<a class="anchor" aria-label="anchor" href="#s
 </h2>
 <div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/sessionInfo.html" class="external-link">sessionInfo</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## R version 4.3.1 (2023-06-16)</span></span>
-<span><span class="co">## Platform: x86_64-apple-darwin20 (64-bit)</span></span>
-<span><span class="co">## Running under: macOS Ventura 13.4.1</span></span>
+<pre><code><span><span class="co">## R version 4.3.2 (2023-10-31)</span></span>
+<span><span class="co">## Platform: x86_64-pc-linux-gnu (64-bit)</span></span>
+<span><span class="co">## Running under: Ubuntu 23.10</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Matrix products: default</span></span>
-<span><span class="co">## BLAS:   /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRblas.0.dylib </span></span>
-<span><span class="co">## LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0</span></span>
+<span><span class="co">## BLAS:   /home/leo/bin/R-4.3.2/lib/libRblas.so </span></span>
+<span><span class="co">## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.11.0</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## locale:</span></span>
-<span><span class="co">## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8</span></span>
+<span><span class="co">##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              </span></span>
+<span><span class="co">##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    </span></span>
+<span><span class="co">##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   </span></span>
+<span><span class="co">##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 </span></span>
+<span><span class="co">##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            </span></span>
+<span><span class="co">## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## time zone: Europe/Helsinki</span></span>
-<span><span class="co">## tzcode source: internal</span></span>
+<span><span class="co">## tzcode source: system (glibc)</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## attached base packages:</span></span>
 <span><span class="co">## [1] stats4    stats     graphics  grDevices utils     datasets  methods  </span></span>
 <span><span class="co">## [8] base     </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## other attached packages:</span></span>
-<span><span class="co">##  [1] miaSim_1.7.8                   TreeSummarizedExperiment_2.9.0</span></span>
-<span><span class="co">##  [3] Biostrings_2.69.2              XVector_0.41.1                </span></span>
-<span><span class="co">##  [5] SingleCellExperiment_1.23.0    SummarizedExperiment_1.31.1   </span></span>
-<span><span class="co">##  [7] Biobase_2.61.0                 GenomicRanges_1.53.1          </span></span>
-<span><span class="co">##  [9] GenomeInfoDb_1.37.2            IRanges_2.35.2                </span></span>
-<span><span class="co">## [11] S4Vectors_0.39.1               BiocGenerics_0.47.0           </span></span>
-<span><span class="co">## [13] MatrixGenerics_1.13.1          matrixStats_1.0.0             </span></span>
-<span><span class="co">## [15] BiocStyle_2.29.1              </span></span>
+<span><span class="co">##  [1] miaSim_1.9.1                    TreeSummarizedExperiment_2.10.0</span></span>
+<span><span class="co">##  [3] Biostrings_2.70.1               XVector_0.42.0                 </span></span>
+<span><span class="co">##  [5] SingleCellExperiment_1.24.0     SummarizedExperiment_1.32.0    </span></span>
+<span><span class="co">##  [7] Biobase_2.62.0                  GenomicRanges_1.54.1           </span></span>
+<span><span class="co">##  [9] GenomeInfoDb_1.38.5             IRanges_2.36.0                 </span></span>
+<span><span class="co">## [11] S4Vectors_0.40.2                BiocGenerics_0.48.1            </span></span>
+<span><span class="co">## [13] MatrixGenerics_1.14.0           matrixStats_1.2.0              </span></span>
+<span><span class="co">## [15] BiocStyle_2.30.0               </span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## loaded via a namespace (and not attached):</span></span>
-<span><span class="co">##  [1] xfun_0.39               bslib_0.5.0             poweRlaw_0.70.6        </span></span>
-<span><span class="co">##  [4] lattice_0.21-8          yulab.utils_0.0.6       vctrs_0.6.3            </span></span>
-<span><span class="co">##  [7] tools_4.3.1             bitops_1.0-7            generics_0.1.3         </span></span>
-<span><span class="co">## [10] parallel_4.3.1          tibble_3.2.1            fansi_1.0.4            </span></span>
-<span><span class="co">## [13] pkgconfig_2.0.3         Matrix_1.6-0            desc_1.4.2             </span></span>
-<span><span class="co">## [16] lifecycle_1.0.3         GenomeInfoDbData_1.2.10 compiler_4.3.1         </span></span>
-<span><span class="co">## [19] stringr_1.5.0           treeio_1.25.2           textshaping_0.3.6      </span></span>
-<span><span class="co">## [22] codetools_0.2-19        htmltools_0.5.5         sass_0.4.7             </span></span>
-<span><span class="co">## [25] lazyeval_0.2.2          RCurl_1.98-1.12         yaml_2.3.7             </span></span>
-<span><span class="co">## [28] pracma_2.4.2            tidyr_1.3.0             pkgdown_2.0.7.9000     </span></span>
-<span><span class="co">## [31] pillar_1.9.0            crayon_1.5.2            jquerylib_0.1.4        </span></span>
-<span><span class="co">## [34] BiocParallel_1.35.3     DelayedArray_0.27.10    cachem_1.0.8           </span></span>
-<span><span class="co">## [37] abind_1.4-5             nlme_3.1-162            tidyselect_1.2.0       </span></span>
-<span><span class="co">## [40] digest_0.6.33           stringi_1.7.12          dplyr_1.1.2            </span></span>
-<span><span class="co">## [43] purrr_1.0.1             bookdown_0.34           rprojroot_2.0.3        </span></span>
-<span><span class="co">## [46] fastmap_1.1.1           grid_4.3.1              cli_3.6.1              </span></span>
-<span><span class="co">## [49] SparseArray_1.1.11      magrittr_2.0.3          S4Arrays_1.1.5         </span></span>
-<span><span class="co">## [52] utf8_1.2.3              ape_5.7-1               rmarkdown_2.23         </span></span>
-<span><span class="co">## [55] deSolve_1.36            ragg_1.2.5              memoise_2.0.1          </span></span>
-<span><span class="co">## [58] evaluate_0.21           knitr_1.43              rlang_1.1.1            </span></span>
-<span><span class="co">## [61] Rcpp_1.0.11             tidytree_0.4.4          glue_1.6.2             </span></span>
-<span><span class="co">## [64] BiocManager_1.30.21.1   rstudioapi_0.15.0       jsonlite_1.8.7         </span></span>
-<span><span class="co">## [67] R6_2.5.1                systemfonts_1.0.4       fs_1.6.3               </span></span>
-<span><span class="co">## [70] zlibbioc_1.47.0</span></span></code></pre>
+<span><span class="co">##  [1] xfun_0.41               bslib_0.6.1             poweRlaw_0.70.6        </span></span>
+<span><span class="co">##  [4] lattice_0.22-5          yulab.utils_0.1.2       vctrs_0.6.5            </span></span>
+<span><span class="co">##  [7] tools_4.3.2             bitops_1.0-7            generics_0.1.3         </span></span>
+<span><span class="co">## [10] parallel_4.3.2          tibble_3.2.1            fansi_1.0.6            </span></span>
+<span><span class="co">## [13] pkgconfig_2.0.3         Matrix_1.6-4            desc_1.4.3             </span></span>
+<span><span class="co">## [16] lifecycle_1.0.4         GenomeInfoDbData_1.2.11 compiler_4.3.2         </span></span>
+<span><span class="co">## [19] treeio_1.26.0           textshaping_0.3.7       codetools_0.2-19       </span></span>
+<span><span class="co">## [22] htmltools_0.5.7         sass_0.4.8              lazyeval_0.2.2         </span></span>
+<span><span class="co">## [25] RCurl_1.98-1.13         yaml_2.3.8              pracma_2.4.4           </span></span>
+<span><span class="co">## [28] tidyr_1.3.0             pkgdown_2.0.7           pillar_1.9.0           </span></span>
+<span><span class="co">## [31] crayon_1.5.2            jquerylib_0.1.4         BiocParallel_1.36.0    </span></span>
+<span><span class="co">## [34] DelayedArray_0.28.0     cachem_1.0.8            abind_1.4-5            </span></span>
+<span><span class="co">## [37] nlme_3.1-164            tidyselect_1.2.0        digest_0.6.33          </span></span>
+<span><span class="co">## [40] dplyr_1.1.4             purrr_1.0.2             bookdown_0.37          </span></span>
+<span><span class="co">## [43] fastmap_1.1.1           grid_4.3.2              cli_3.6.2              </span></span>
+<span><span class="co">## [46] SparseArray_1.2.3       magrittr_2.0.3          S4Arrays_1.2.0         </span></span>
+<span><span class="co">## [49] utf8_1.2.4              ape_5.7-1               rmarkdown_2.25.2       </span></span>
+<span><span class="co">## [52] deSolve_1.40            ragg_1.2.7              memoise_2.0.1          </span></span>
+<span><span class="co">## [55] evaluate_0.23           knitr_1.45              rlang_1.1.2            </span></span>
+<span><span class="co">## [58] Rcpp_1.0.11             tidytree_0.4.6          glue_1.6.2             </span></span>
+<span><span class="co">## [61] BiocManager_1.30.22     jsonlite_1.8.8          R6_2.5.1               </span></span>
+<span><span class="co">## [64] systemfonts_1.0.5       fs_1.6.3                zlibbioc_1.48.0</span></span></code></pre>
 </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
     </nav></aside>
@@ -304,7 +307,7 @@ <h2 id="session-info">Session info<a class="anchor" aria-label="anchor" href="#s
 
 <div class="pkgdown-footer-right">
   <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer>
diff --git a/docs/authors.html b/docs/authors.html
index fd6c505..e205506 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • miaSim</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><link href="extra.css" rel="stylesheet"><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • miaSim</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><link href="extra.css" rel="stylesheet"><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -80,7 +80,7 @@ <h2>Authors</h2>
       <h2 id="citation">Citation</h2>
       <p><small class="dont-index">Source: <a href="https://github.com/microbiome/miaSim/blob/HEAD/inst/CITATION" class="external-link"><code>inst/CITATION</code></a></small></p>
 
-      <p>(C) Yu Gao et al. miaSim: an R/Bioconductor package to easily simulate microbial community dynamics. Methods in Ecology and Evolution (2023). Version 1.7.8 Package URL: microbiome.github.io/miaSim</p>
+      <p>(C) Yu Gao et al. miaSim: an R/Bioconductor package to easily simulate microbial community dynamics. Methods in Ecology and Evolution (2023). Version 1.9.1 Package URL: microbiome.github.io/miaSim</p>
       <pre>@Article{,
   title = {miaSim: an R/Bioconductor package to easily simulate microbial community dynamics},
   journal = {Methods in Ecology and Evolution},
@@ -88,7 +88,7 @@ <h2 id="citation">Citation</h2>
   doi = {10.1111/2041-210X.14129},
   author = {Yu Gao and Yağmur Şimşek and Emma Gheysen and Tuomas Borman and Yi Li and Leo Lahti and Karoline Faust and Daniel Garza},
   url = {microbiome.github.io/miaSim},
-  note = {Version 1.7.8},
+  note = {Version 1.9.1},
 }</pre>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
@@ -100,7 +100,7 @@ <h2 id="citation">Citation</h2>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer></div>
diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js b/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js
new file mode 100644
index 0000000..e8f21f7
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+++ b/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js
@@ -0,0 +1,7 @@
+/*!
+  * Bootstrap v5.3.1 (https://getbootstrap.com/)
+  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
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W{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=Y.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}N.on(document,"click.bs.button.data-api",X,(t=>{t.preventDefault();const e=t.target.closest(X);Y.getOrCreateInstance(e).toggle()})),m(Y);const U=".bs.swipe",G=`touchstart${U}`,J=`touchmove${U}`,Z=`touchend${U}`,tt=`pointerdown${U}`,et=`pointerup${U}`,it={endCallback:null,leftCallback:null,rightCallback:null},nt={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class st extends H{constructor(t,e){super(),this._element=t,t&&st.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return it}static get DefaultType(){return nt}static get 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t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&N.on(this._element,ft,(t=>this._keydown(t))),"hover"===this._config.pause&&(N.on(this._element,pt,(()=>this.pause())),N.on(this._element,mt,(()=>this._maybeEnableCycle()))),this._config.touch&&st.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of z.find(".carousel-item img",this._element))N.on(t,gt,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ct)),rightCallback:()=>this._slide(this._directionToOrder(ht)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new st(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=Tt[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=z.findOne(wt,this._indicatorsElement);e.classList.remove(yt),e.removeAttribute("aria-current");const i=z.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(yt),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===at,s=e||b(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>N.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(dt).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const 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s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function mi(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?fi:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},fi,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof 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vi=Object.freeze(Object.defineProperty({__proto__:null,afterMain:ae,afterRead:se,afterWrite:he,applyStyles:_e,arrow:je,auto:Kt,basePlacements:Qt,beforeMain:oe,beforeRead:ie,beforeWrite:le,bottom:Rt,clippingParents:Ut,computeStyles:Be,createPopper:bi,createPopperBase:gi,createPopperLite:_i,detectOverflow:ii,end:Yt,eventListeners:Re,flip:si,hide:ai,left:Vt,main:re,modifierPhases:de,offset:li,placements:ee,popper:Jt,popperGenerator:mi,popperOffsets:ci,preventOverflow:hi,read:ne,reference:Zt,right:qt,start:Xt,top:zt,variationPlacements:te,viewport:Gt,write:ce},Symbol.toStringTag,{value:"Module"})),yi="dropdown",wi=".bs.dropdown",Ai=".data-api",Ei="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ai}`,Si=`keydown${wi}${Ai}`,Di=`keyup${wi}${Ai}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=p()?"top-end":"top-start",ji=p()?"top-start":"top-end",Fi=p()?"bottom-end":"bottom-start",Hi=p()?"bottom-start":"bottom-end",Wi=p()?"left-start":"right-start",Bi=p()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends W{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=z.next(this._element,Pi)[0]||z.prev(this._element,Pi)[0]||z.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!N.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),N.trigger(this._element,ki,t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!N.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),F.removeDataAttribute(this._menu,"popper"),N.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===vi)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:o(this._config.reference)?t=r(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=bi(t,this._menu,e)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return Bi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const 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diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js.map b/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js.map
new file mode 100644
index 0000000..3863da8
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object[0] : object\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object))\n  }\n\n  return null\n}\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])')\n\n  if (!closedDetails) {\n    return elementIsVisible\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary')\n    if (summary && summary.parentNode !== closedDetails) {\n      return false\n    }\n\n    if (summary === null) {\n      return false\n    }\n  }\n\n  return elementIsVisible\n}\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode()\n    return root instanceof ShadowRoot ? root : null\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null\n  }\n\n  return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery\n  }\n\n  return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback()\n        }\n      })\n    }\n\n    DOMContentLoadedCallbacks.push(callback)\n  } else {\n    callback()\n  }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery()\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME\n      const JQUERY_NO_CONFLICT = $.fn[name]\n      $.fn[name] = plugin.jQueryInterface\n      $.fn[name].Constructor = plugin\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT\n        return plugin.jQueryInterface\n      }\n    }\n  })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback)\n    return\n  }\n\n  const durationPadding = 5\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n  let called = false\n\n  const handler = ({ target }) => {\n    if (target !== transitionElement) {\n      return\n    }\n\n    called = true\n    transitionElement.removeEventListener(TRANSITION_END, handler)\n    execute(callback)\n  }\n\n  transitionElement.addEventListener(TRANSITION_END, handler)\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement)\n    }\n  }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length\n  let index = list.indexOf(activeElement)\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n  }\n\n  index += shouldGetNext ? 1 : -1\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n  defineJQueryPlugin,\n  execute,\n  executeAfterTransition,\n  findShadowRoot,\n  getElement,\n  getjQuery,\n  getNextActiveElement,\n  getTransitionDurationFromElement,\n  getUID,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop,\n  onDOMContentLoaded,\n  parseSelector,\n  reflow,\n  triggerTransitionEnd,\n  toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n  'click',\n  'dblclick',\n  'mouseup',\n  'mousedown',\n  'contextmenu',\n  'mousewheel',\n  'DOMMouseScroll',\n  'mouseover',\n  'mouseout',\n  'mousemove',\n  'selectstart',\n  'selectend',\n  'keydown',\n  'keypress',\n  'keyup',\n  'orientationchange',\n  'touchstart',\n  'touchmove',\n  'touchend',\n  'touchcancel',\n  'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element)\n\n  element.uidEvent = uid\n  eventRegistry[uid] = eventRegistry[uid] || {}\n\n  return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, { delegateTarget: element })\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn)\n    }\n\n    return fn.apply(element, [event])\n  }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector)\n\n    for (let { target } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue\n        }\n\n        hydrateObj(event, { delegateTarget: target })\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn)\n        }\n\n        return fn.apply(target, [event])\n      }\n    }\n  }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events)\n    .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n  let typeEvent = getTypeEvent(originalTypeEvent)\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent\n  }\n\n  return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n          return fn.call(this, event)\n        }\n      }\n    }\n\n    callable = wrapFunction(callable)\n  }\n\n  const events = getElementEvents(element)\n  const handlers = events[typeEvent] || (events[typeEvent] = {})\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n    return\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n  const fn = isDelegated ?\n    bootstrapDelegationHandler(element, handler, callable) :\n    bootstrapHandler(element, callable)\n\n  fn.delegationSelector = isDelegated ? handler : null\n  fn.callable = callable\n  fn.oneOff = oneOff\n  fn.uidEvent = uid\n  handlers[uid] = fn\n\n  element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n  if (!fn) {\n    return\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n  delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {}\n\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '')\n  return customEvents[event] || event\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false)\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true)\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n    const inNamespace = typeEvent !== originalTypeEvent\n    const events = getElementEvents(element)\n    const storeElementEvent = events[typeEvent] || {}\n    const isNamespace = originalTypeEvent.startsWith('.')\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      }\n    }\n\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null\n    }\n\n    const $ = getjQuery()\n    const typeEvent = getTypeEvent(event)\n    const inNamespace = event !== typeEvent\n\n    let jQueryEvent = null\n    let bubbles = true\n    let nativeDispatch = true\n    let defaultPrevented = false\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args)\n\n      $(element).trigger(jQueryEvent)\n      bubbles = !jQueryEvent.isPropagationStopped()\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n      defaultPrevented = jQueryEvent.isDefaultPrevented()\n    }\n\n    const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n    if (defaultPrevented) {\n      evt.preventDefault()\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt)\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault()\n    }\n\n    return evt\n  }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value\n    } catch {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value\n        }\n      })\n    }\n  }\n\n  return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true\n  }\n\n  if (value === 'false') {\n    return false\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value)\n  }\n\n  if (value === '' || value === 'null') {\n    return null\n  }\n\n  if (typeof value !== 'string') {\n    return value\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value))\n  } catch {\n    return value\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {}\n    }\n\n    const attributes = {}\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '')\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n      attributes[pureKey] = normalizeData(element.dataset[key])\n    }\n\n    return attributes\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n  }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {}\n  }\n\n  static get DefaultType() {\n    return {}\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!')\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    return config\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    }\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property]\n      const valueType = isElement(value) ? 'element' : toType(value)\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(\n          `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n        )\n      }\n    }\n  }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super()\n\n    element = getElement(element)\n    if (!element) {\n      return\n    }\n\n    this._element = element\n    this._config = this._getConfig(config)\n\n    Data.set(this._element, this.constructor.DATA_KEY, this)\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY)\n    EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated)\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY)\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n  }\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`\n  }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target')\n\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href')\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n      return null\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n  }\n\n  return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector)\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector))\n  },\n\n  parents(element, selector) {\n    const parents = []\n    let ancestor = element.parentNode.closest(selector)\n\n    while (ancestor) {\n      parents.push(ancestor)\n      ancestor = ancestor.parentNode.closest(selector)\n    }\n\n    return parents\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous]\n      }\n\n      previous = previous.previousElementSibling\n    }\n\n    return []\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next]\n      }\n\n      next = next.nextElementSibling\n    }\n\n    return []\n  },\n\n  focusableChildren(element) {\n    const focusables = [\n      'a',\n      'button',\n      'input',\n      'textarea',\n      'select',\n      'details',\n      '[tabindex]',\n      '[contenteditable=\"true\"]'\n    ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n  },\n\n  getSelectorFromElement(element) {\n    const selector = getSelector(element)\n\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null\n    }\n\n    return null\n  },\n\n  getElementFromSelector(element) {\n    const selector = getSelector(element)\n\n    return selector ? SelectorEngine.findOne(selector) : null\n  },\n\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element)\n\n    return selector ? SelectorEngine.find(selector) : []\n  }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`\n  const name = component.NAME\n\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault()\n    }\n\n    if (isDisabled(this)) {\n      return\n    }\n\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n    const instance = component.getOrCreateInstance(target)\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]()\n  })\n}\n\nexport {\n  enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n    if (closeEvent.defaultPrevented) {\n      return\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove()\n    EventHandler.trigger(this._element, EVENT_CLOSED)\n    this.dispose()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this)\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n  event.preventDefault()\n\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n  const data = Button.getOrCreateInstance(button)\n\n  data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n}\n\nconst DefaultType = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super()\n    this._element = element\n\n    if (!element || !Swipe.isSupported()) {\n      return\n    }\n\n    this._config = this._getConfig(config)\n    this._deltaX = 0\n    this._supportPointerEvents = Boolean(window.PointerEvent)\n    this._initEvents()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY)\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX\n\n      return\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX\n    }\n\n    this._handleSwipe()\n    execute(this._config.endCallback)\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ?\n      0 :\n      event.touches[0].clientX - this._deltaX\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX)\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltaX / this._deltaX\n\n    this._deltaX = 0\n\n    if (!direction) {\n      return\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n  }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  getNextActiveElement,\n  isRTL,\n  isVisible,\n  reflow,\n  triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)', // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._interval = null\n    this._activeElement = null\n    this._isSliding = false\n    this.touchTimeout = null\n    this._swipeHelper = null\n\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n    this._addEventListeners()\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT)\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next()\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV)\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element)\n    }\n\n    this._clearInterval()\n  }\n\n  cycle() {\n    this._clearInterval()\n    this._updateInterval()\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n      return\n    }\n\n    this.cycle()\n  }\n\n  to(index) {\n    const items = this._getItems()\n    if (index > items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n      return\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive())\n    if (activeIndex === index) {\n      return\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n    this._slide(order, items[index])\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose()\n    }\n\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval\n    return config\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n      EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause()\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout)\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n    }\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    }\n\n    this._swipeHelper = new Swipe(this._element, swipeConfig)\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key]\n    if (direction) {\n      event.preventDefault()\n      this._slide(this._directionToOrder(direction))\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element)\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n    activeIndicator.removeAttribute('aria-current')\n\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n      newActiveIndicator.setAttribute('aria-current', 'true')\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive()\n\n    if (!element) {\n      return\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n    this._config.interval = elementInterval || this._config.defaultInterval\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return\n    }\n\n    const activeElement = this._getActive()\n    const isNext = order === ORDER_NEXT\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n    if (nextElement === activeElement) {\n      return\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement)\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      })\n    }\n\n    const slideEvent = triggerEvent(EVENT_SLIDE)\n\n    if (slideEvent.defaultPrevented) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return\n    }\n\n    const isCycling = Boolean(this._interval)\n    this.pause()\n\n    this._isSliding = true\n\n    this._setActiveIndicatorElement(nextElementIndex)\n    this._activeElement = nextElement\n\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n    nextElement.classList.add(orderClassName)\n\n    reflow(nextElement)\n\n    activeElement.classList.add(directionalClassName)\n    nextElement.classList.add(directionalClassName)\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName)\n      nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n      activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n      this._isSliding = false\n\n      triggerEvent(EVENT_SLID)\n    }\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE)\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element)\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config)\n\n      if (typeof config === 'number') {\n        data.to(config)\n        return\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return\n  }\n\n  event.preventDefault()\n\n  const carousel = Carousel.getOrCreateInstance(target)\n  const slideIndex = this.getAttribute('data-bs-slide-to')\n\n  if (slideIndex) {\n    carousel.to(slideIndex)\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next()\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  carousel.prev()\n  carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  getElement,\n  reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n  parent: null,\n  toggle: true\n}\n\nconst DefaultType = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isTransitioning = false\n    this._triggerArray = []\n\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem)\n      const filterElement = SelectorEngine.find(selector)\n        .filter(foundElement => foundElement === this._element)\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._initializeChildren()\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return\n    }\n\n    let activeChildren = []\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n        .filter(element => element !== this._element)\n        .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide()\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE)\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true)\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger)\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false)\n      }\n    }\n\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n\n    this._queueCallback(complete, this._element, true)\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    config.parent = getElement(config.parent)\n    return config\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element)\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected))\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n      element.setAttribute('aria-expanded', isOpen)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {}\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n    event.preventDefault()\n  }\n\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  execute,\n  getElement,\n  getNextActiveElement,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n}\n\nconst DefaultType = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._popper = null\n    this._parent = this._element.parentNode // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n    this._inNavbar = this._detectNavbar()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show()\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._createPopper()\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    this._menu.classList.add(CLASS_NAME_SHOW)\n    this._element.classList.add(CLASS_NAME_SHOW)\n    EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    this._completeHide(relatedTarget)\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW)\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._element.setAttribute('aria-expanded', 'false')\n    Manipulator.removeDataAttribute(this._menu, 'popper')\n    EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config)\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) &&\n      typeof config.reference.getBoundingClientRect !== 'function'\n    ) {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n    }\n\n    return config\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n    }\n\n    let referenceElement = this._element\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference)\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference\n    }\n\n    const popperConfig = this._getPopperConfig()\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      },\n      {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    }\n  }\n\n  _selectMenuItem({ key, target }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n    if (!items.length) {\n      return\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n      return\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle)\n      if (!context || context._config.autoClose === false) {\n        continue\n      }\n\n      const composedPath = event.composedPath()\n      const isMenuTarget = composedPath.includes(context._menu)\n      if (\n        composedPath.includes(context._element) ||\n        (context._config.autoClose === 'inside' && !isMenuTarget) ||\n        (context._config.autoClose === 'outside' && isMenuTarget)\n      ) {\n        continue\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue\n      }\n\n      const relatedTarget = { relatedTarget: context._element }\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event\n      }\n\n      context._completeHide(relatedTarget)\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName)\n    const isEscapeEvent = event.key === ESCAPE_KEY\n    const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return\n    }\n\n    event.preventDefault()\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n      this :\n      (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n    const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation()\n      instance.show()\n      instance._selectMenuItem(event)\n      return\n    }\n\n    if (instance._isShown()) { // else is escape and we check if it is shown\n      event.stopPropagation()\n      instance.hide()\n      getToggleButton.focus()\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  event.preventDefault()\n  Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isAppended = false\n    this._element = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._append()\n\n    const element = this._getElement()\n    if (this._config.isAnimated) {\n      reflow(element)\n    }\n\n    element.classList.add(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      execute(callback)\n    })\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      this.dispose()\n      execute(callback)\n    })\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n    this._element.remove()\n    this._isAppended = false\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div')\n      backdrop.className = this._config.className\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE)\n      }\n\n      this._element = backdrop\n    }\n\n    return this._element\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement)\n    return config\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return\n    }\n\n    const element = this._getElement()\n    this._config.rootElement.append(element)\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback)\n    })\n\n    this._isAppended = true\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n  }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isActive = false\n    this._lastTabNavDirection = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus()\n    }\n\n    EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n    this._isActive = true\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return\n    }\n\n    this._isActive = false\n    EventHandler.off(document, EVENT_KEY)\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const { trapElement } = this._config\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement)\n\n    if (elements.length === 0) {\n      trapElement.focus()\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus()\n    } else {\n      elements[0].focus()\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n  }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth\n    return Math.abs(window.innerWidth - documentWidth)\n  }\n\n  hide() {\n    const width = this.getWidth()\n    this._disableOverFlow()\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow')\n    this._resetElementAttributes(this._element, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow')\n    this._element.style.overflow = 'hidden'\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth()\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return\n      }\n\n      this._saveInitialAttribute(element, styleProperty)\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty)\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue)\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty)\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty)\n        return\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty)\n      element.style.setProperty(styleProperty, value)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector)\n      return\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel)\n    }\n  }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._isShown = false\n    this._isTransitioning = false\n    this._scrollBar = new ScrollBarHelper()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget\n    })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._isTransitioning = true\n\n    this._scrollBar.hide()\n\n    document.body.classList.add(CLASS_NAME_OPEN)\n\n    this._adjustDialog()\n\n    this._backdrop.show(() => this._showElement(relatedTarget))\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = false\n    this._isTransitioning = true\n    this._focustrap.deactivate()\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n  }\n\n  dispose() {\n    EventHandler.off(window, EVENT_KEY)\n    EventHandler.off(this._dialog, EVENT_KEY)\n\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n\n    super.dispose()\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.scrollTop = 0\n\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n    if (modalBody) {\n      modalBody.scrollTop = 0\n    }\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate()\n      }\n\n      this._isTransitioning = false\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget\n      })\n    }\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        this.hide()\n        return\n      }\n\n      this._triggerBackdropTransition()\n    })\n\n    EventHandler.on(window, EVENT_RESIZE, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog()\n      }\n    })\n\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition()\n          return\n        }\n\n        if (this._config.backdrop) {\n          this.hide()\n        }\n      })\n    })\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._element.removeAttribute('role')\n    this._isTransitioning = false\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN)\n      this._resetAdjustments()\n      this._scrollBar.reset()\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    })\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE)\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const initialOverflowY = this._element.style.overflowY\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden'\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC)\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC)\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY\n      }, this._dialog)\n    }, this._dialog)\n\n    this._element.focus()\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const scrollbarWidth = this._scrollBar.getWidth()\n    const isBodyOverflowing = scrollbarWidth > 0\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](relatedTarget)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  EventHandler.one(target, EVENT_SHOW, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN, () => {\n      if (isVisible(this)) {\n        this.focus()\n      }\n    })\n  })\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Modal.getOrCreateInstance(target)\n\n  data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n  defineJQueryPlugin,\n  isDisabled,\n  isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isShown = false\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._backdrop.show()\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide()\n    }\n\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.classList.add(CLASS_NAME_SHOWING)\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate()\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW)\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n    }\n\n    this._queueCallback(completeCallBack, this._element, true)\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._focustrap.deactivate()\n    this._element.blur()\n    this._isShown = false\n    this._element.classList.add(CLASS_NAME_HIDING)\n    this._backdrop.hide()\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n      this._element.removeAttribute('aria-modal')\n      this._element.removeAttribute('role')\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset()\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._queueCallback(completeCallback, this._element, true)\n  }\n\n  dispose() {\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    }\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop)\n\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        this.hide()\n        return\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    })\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus()\n    }\n  })\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target)\n  data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show()\n  }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide()\n    }\n  }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase()\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n    }\n\n    return true\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n    .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase()\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove()\n      continue\n    }\n\n    const attributeList = [].concat(...element.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName)\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  content: {}, // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n}\n\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content)\n      .map(config => this._resolvePossibleFunction(config))\n      .filter(Boolean)\n  }\n\n  hasContent() {\n    return this.getContent().length > 0\n  }\n\n  changeContent(content) {\n    this._checkContent(content)\n    this._config.content = { ...this._config.content, ...content }\n    return this\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div')\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector)\n    }\n\n    const template = templateWrapper.children[0]\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '))\n    }\n\n    return template\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config)\n    this._checkContent(config.content)\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template)\n\n    if (!templateElement) {\n      return\n    }\n\n    content = this._resolvePossibleFunction(content)\n\n    if (!content) {\n      templateElement.remove()\n      return\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement)\n      return\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content)\n      return\n    }\n\n    templateElement.textContent = content\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n  }\n\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this])\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = ''\n      templateElement.append(element)\n      return\n    }\n\n    templateElement.textContent = element.textContent\n  }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' +\n            '<div class=\"tooltip-arrow\"></div>' +\n            '<div class=\"tooltip-inner\"></div>' +\n            '</div>',\n  title: '',\n  trigger: 'hover focus'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n    }\n\n    super(element, config)\n\n    // Private\n    this._isEnabled = true\n    this._timeout = 0\n    this._isHovered = null\n    this._activeTrigger = {}\n    this._popper = null\n    this._templateFactory = null\n    this._newContent = null\n\n    // Protected\n    this.tip = null\n\n    this._setListeners()\n\n    if (!this._config.selector) {\n      this._fixTitle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click\n    if (this._isShown()) {\n      this._leave()\n      return\n    }\n\n    this._enter()\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n    }\n\n    this._disposePopper()\n    super.dispose()\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n    const shadowRoot = findShadowRoot(this._element)\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper()\n\n    const tip = this._getTipElement()\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n    const { container } = this._config\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip)\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n    }\n\n    this._popper = this._createPopper(tip)\n\n    tip.classList.add(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n      if (this._isHovered === false) {\n        this._leave()\n      }\n\n      this._isHovered = false\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const tip = this._getTipElement()\n    tip.classList.remove(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false\n    this._activeTrigger[TRIGGER_FOCUS] = false\n    this._activeTrigger[TRIGGER_HOVER] = false\n    this._isHovered = null // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return\n      }\n\n      if (!this._isHovered) {\n        this._disposePopper()\n      }\n\n      this._element.removeAttribute('aria-describedby')\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle())\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n    }\n\n    return this.tip\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml()\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n    const tipId = getUID(this.constructor.NAME).toString()\n\n    tip.setAttribute('id', tipId)\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE)\n    }\n\n    return tip\n  }\n\n  setContent(content) {\n    this._newContent = content\n    if (this._isShown()) {\n      this._disposePopper()\n      this.show()\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content)\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      })\n    }\n\n    return this._templateFactory\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    }\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n  }\n\n  _isAnimated() {\n    return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element])\n    const attachment = AttachmentMap[placement.toUpperCase()]\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element])\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [\n        {\n          name: 'flip',\n          options: {\n            fallbackPlacements: this._config.fallbackPlacements\n          }\n        },\n        {\n          name: 'offset',\n          options: {\n            offset: this._getOffset()\n          }\n        },\n        {\n          name: 'preventOverflow',\n          options: {\n            boundary: this._config.boundary\n          }\n        },\n        {\n          name: 'arrow',\n          options: {\n            element: `.${this.constructor.NAME}-arrow`\n          }\n        },\n        {\n          name: 'preSetPlacement',\n          enabled: true,\n          phase: 'beforeMain',\n          fn: data => {\n            // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n            // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n            this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n          }\n        }\n      ]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    }\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ')\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context.toggle()\n        })\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSEENTER) :\n          this.constructor.eventName(EVENT_FOCUSIN)\n        const eventOut = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSELEAVE) :\n          this.constructor.eventName(EVENT_FOCUSOUT)\n\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n          context._enter()\n        })\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n            context._element.contains(event.relatedTarget)\n\n          context._leave()\n        })\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide()\n      }\n    }\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title')\n\n    if (!title) {\n      return\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title)\n    }\n\n    this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title')\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true\n      return\n    }\n\n    this._isHovered = true\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show()\n      }\n    }, this._config.delay.show)\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return\n    }\n\n    this._isHovered = false\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide()\n      }\n    }, this._config.delay.hide)\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout)\n    this._timeout = setTimeout(handler, timeout)\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true)\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute]\n      }\n    }\n\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value\n      }\n    }\n\n    config.selector = false\n    config.trigger = 'manual'\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy()\n      this._popper = null\n    }\n\n    if (this.tip) {\n      this.tip.remove()\n      this.tip = null\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' +\n    '<div class=\"popover-arrow\"></div>' +\n    '<h3 class=\"popover-header\"></h3>' +\n    '<div class=\"popover-body\"></div>' +\n    '</div>',\n  trigger: 'click'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent()\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    }\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content)\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n  offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n  offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n    this._activeTarget = null\n    this._observer = null\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    }\n    this.refresh() // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables()\n    this._maybeEnableSmoothScroll()\n\n    if (this._observer) {\n      this._observer.disconnect()\n    } else {\n      this._observer = this._getNewObserver()\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section)\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect()\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n    }\n\n    return config\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK)\n\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash)\n      if (observableSection) {\n        event.preventDefault()\n        const root = this._rootElement || window\n        const height = observableSection.offsetTop - this._element.offsetTop\n        if (root.scrollTo) {\n          root.scrollTo({ top: height, behavior: 'smooth' })\n          return\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height\n      }\n    })\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    }\n\n    return new IntersectionObserver(entries => this._observerCallback(entries), options)\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n      this._process(targetElement(entry))\n    }\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n    this._previousScrollData.parentScrollTop = parentScrollTop\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null\n        this._clearActiveClass(targetElement(entry))\n\n        continue\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry)\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return\n        }\n\n        continue\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry)\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue\n      }\n\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor)\n        this._observableSections.set(anchor.hash, observableSection)\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return\n    }\n\n    this._clearActiveClass(this._config.target)\n    this._activeTarget = target\n    target.classList.add(CLASS_NAME_ACTIVE)\n    this._activateParents(target)\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n        .classList.add(CLASS_NAME_ACTIVE)\n      return\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE)\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE)\n\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE}`, parent)\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getNextActiveElement, isDisabled } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}`\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst HOME_KEY = 'Home'\nconst END_KEY = 'End'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_DROPDOWN = 'dropdown'\n\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu'\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)'\n\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]'\nconst SELECTOR_OUTER = '.nav-item, .list-group-item'\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]' // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`\n\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element)\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL)\n\n    if (!this._parent) {\n      return\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren())\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() { // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element\n    if (this._elemIsActive(innerElem)) {\n      return\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem()\n\n    const hideEvent = active ?\n      EventHandler.trigger(active, EVENT_HIDE, { relatedTarget: innerElem }) :\n      null\n\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW, { relatedTarget: active })\n\n    if (showEvent.defaultPrevented || (hideEvent && hideEvent.defaultPrevented)) {\n      return\n    }\n\n    this._deactivate(active, innerElem)\n    this._activate(innerElem, active)\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE)\n\n    this._activate(SelectorEngine.getElementFromSelector(element)) // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.removeAttribute('tabindex')\n      element.setAttribute('aria-selected', true)\n      this._toggleDropDown(element, true)\n      EventHandler.trigger(element, EVENT_SHOWN, {\n        relatedTarget: relatedElem\n      })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE)\n    element.blur()\n\n    this._deactivate(SelectorEngine.getElementFromSelector(element)) // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.setAttribute('aria-selected', false)\n      element.setAttribute('tabindex', '-1')\n      this._toggleDropDown(element, false)\n      EventHandler.trigger(element, EVENT_HIDDEN, { relatedTarget: relatedElem })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _keydown(event) {\n    if (!([ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key))) {\n      return\n    }\n\n    event.stopPropagation()// stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault()\n\n    const children = this._getChildren().filter(element => !isDisabled(element))\n    let nextActiveElement\n\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1]\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key)\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true)\n    }\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({ preventScroll: true })\n      Tab.getOrCreateInstance(nextActiveElement).show()\n    }\n  }\n\n  _getChildren() { // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent)\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist')\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child)\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child)\n    const isActive = this._elemIsActive(child)\n    const outerElem = this._getOuterElement(child)\n    child.setAttribute('aria-selected', isActive)\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation')\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1')\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab')\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child)\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child)\n\n    if (!target) {\n      return\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel')\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`)\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element)\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem)\n      if (element) {\n        element.classList.toggle(className, open)\n      }\n    }\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE)\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW)\n    outerElem.setAttribute('aria-expanded', open)\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value)\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE)\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem)\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  Tab.getOrCreateInstance(this).show()\n})\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element)\n  }\n})\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin, reflow } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide' // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n}\n\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n}\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._timeout = null\n    this._hasMouseInteraction = false\n    this._hasKeyboardInteraction = false\n    this._setListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._clearTimeout()\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n\n      this._maybeScheduleHide()\n    }\n\n    this._element.classList.remove(CLASS_NAME_HIDE) // @deprecated\n    reflow(this._element)\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING)\n\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE) // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.classList.add(CLASS_NAME_SHOWING)\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  dispose() {\n    this._clearTimeout()\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW)\n    }\n\n    super.dispose()\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide()\n    }, this._config.delay)\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout': {\n        this._hasMouseInteraction = isInteracting\n        break\n      }\n\n      case 'focusin':\n      case 'focusout': {\n        this._hasKeyboardInteraction = isInteracting\n        break\n      }\n\n      default: {\n        break\n      }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout()\n      return\n    }\n\n    const nextElement = event.relatedTarget\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return\n    }\n\n    this._maybeScheduleHide()\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert.js'\nimport Button from './src/button.js'\nimport Carousel from './src/carousel.js'\nimport Collapse from './src/collapse.js'\nimport Dropdown from './src/dropdown.js'\nimport Modal from './src/modal.js'\nimport Offcanvas from './src/offcanvas.js'\nimport Popover from './src/popover.js'\nimport ScrollSpy from './src/scrollspy.js'\nimport Tab from './src/tab.js'\nimport Toast from './src/toast.js'\nimport Tooltip from 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\ No newline at end of file
diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.min.css b/docs/deps/bootstrap-5.3.1/bootstrap.min.css
new file mode 100644
index 0000000..0fa3167
--- /dev/null
+++ b/docs/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -0,0 +1,5 @@
+@import url("font.css");:root{--bslib-bootstrap-version: 5;--bslib-preset-name: shiny;--bslib-preset-type: builtin}/*!
+   * Bootstrap  v5.3.1 (https://getbootstrap.com/)
+   * Copyright 2011-2023 The Bootstrap Authors
+   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+   */:root,[data-bs-theme="light"]{--bs-blue: #007bc2;--bs-indigo: #4b00c1;--bs-purple: #74149c;--bs-pink: #bf007f;--bs-red: #c10000;--bs-orange: #f45100;--bs-yellow: #f9b928;--bs-green: #00891a;--bs-teal: #00bf7f;--bs-cyan: #03c7e8;--bs-black: #000;--bs-white: #fff;--bs-gray: #707782;--bs-gray-dark: #343A46;--bs-gray-100: #f8f8f8;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #cdd4da;--bs-gray-500: #8D959E;--bs-gray-600: #707782;--bs-gray-700: #48505F;--bs-gray-800: #343A46;--bs-gray-900: #1D1F21;--bs-default: #dee2e6;--bs-primary: #007bc2;--bs-secondary: #404040;--bs-success: #00891a;--bs-info: #03c7e8;--bs-warning: #f9b928;--bs-danger: #c10000;--bs-light: #f8f8f8;--bs-dark: #202020;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 0,123,194;--bs-secondary-rgb: 64,64,64;--bs-success-rgb: 0,137,26;--bs-info-rgb: 3,199,232;--bs-warning-rgb: 249,185,40;--bs-danger-rgb: 193,0,0;--bs-light-rgb: 248,248,248;--bs-dark-rgb: 32,32,32;--bs-primary-text-emphasis: #00314e;--bs-secondary-text-emphasis: #1a1a1a;--bs-success-text-emphasis: #00370a;--bs-info-text-emphasis: #01505d;--bs-warning-text-emphasis: #644a10;--bs-danger-text-emphasis: #4d0000;--bs-light-text-emphasis: #48505F;--bs-dark-text-emphasis: #48505F;--bs-primary-bg-subtle: #cce5f3;--bs-secondary-bg-subtle: #d9d9d9;--bs-success-bg-subtle: #cce7d1;--bs-info-bg-subtle: #cdf4fa;--bs-warning-bg-subtle: #fef1d4;--bs-danger-bg-subtle: #f3cccc;--bs-light-bg-subtle: #fcfcfc;--bs-dark-bg-subtle: #cdd4da;--bs-primary-border-subtle: #99cae7;--bs-secondary-border-subtle: #b3b3b3;--bs-success-border-subtle: #99d0a3;--bs-info-border-subtle: #9ae9f6;--bs-warning-border-subtle: #fde3a9;--bs-danger-border-subtle: #e69999;--bs-light-border-subtle: #e9ecef;--bs-dark-border-subtle: #8D959E;--bs-white-rgb: 255,255,255;--bs-black-rgb: 0,0,0;--bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI 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#202020;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #707782;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 38,143,203;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: 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10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #707782;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: 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1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343A46;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: #8D959E;--bs-dropdown-header-color: #8D959E}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #007bc2}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2300314e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #80bde1;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: 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reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #007bc2;--bs-pagination-active-border-color: #007bc2;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #007bc2;--bs-list-group-active-border-color: #007bc2;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:3px;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1.5rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: none;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: none;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #464646;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid 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(max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: 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.tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: 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#fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-indigo{--bslib-color-fg: #4b00c1;color:var(--bslib-color-fg)}.bg-purple{--bslib-color-bg: #74149c;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-purple{--bslib-color-fg: #74149c;color:var(--bslib-color-fg)}.bg-pink{--bslib-color-bg: #bf007f;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-pink{--bslib-color-fg: #bf007f;color:var(--bslib-color-fg)}.bg-red{--bslib-color-bg: #c10000;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-red{--bslib-color-fg: #c10000;color:var(--bslib-color-fg)}.bg-orange{--bslib-color-bg: #f45100;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-orange{--bslib-color-fg: #f45100;color:var(--bslib-color-fg)}.bg-yellow{--bslib-color-bg: #f9b928;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-yellow{--bslib-color-fg: #f9b928;color:var(--bslib-color-fg)}.bg-green{--bslib-color-bg: #00891a;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-green{--bslib-color-fg: #00891a;color:var(--bslib-color-fg)}.bg-teal{--bslib-color-bg: #00bf7f;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-teal{--bslib-color-fg: #00bf7f;color:var(--bslib-color-fg)}.bg-cyan{--bslib-color-bg: #03c7e8;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-cyan{--bslib-color-fg: #03c7e8;color:var(--bslib-color-fg)}.text-default{--bslib-color-fg: #dee2e6}.bg-default{--bslib-color-bg: #dee2e6;--bslib-color-fg: #000}.text-primary{--bslib-color-fg: #007bc2}.bg-primary{--bslib-color-bg: #007bc2;--bslib-color-fg: #fff}.text-secondary{--bslib-color-fg: #404040}.bg-secondary{--bslib-color-bg: #404040;--bslib-color-fg: #fff}.text-success{--bslib-color-fg: #00891a}.bg-success{--bslib-color-bg: #00891a;--bslib-color-fg: #fff}.text-info{--bslib-color-fg: #03c7e8}.bg-info{--bslib-color-bg: #03c7e8;--bslib-color-fg: #000}.text-warning{--bslib-color-fg: #f9b928}.bg-warning{--bslib-color-bg: #f9b928;--bslib-color-fg: #000}.text-danger{--bslib-color-fg: #c10000}.bg-danger{--bslib-color-bg: #c10000;--bslib-color-fg: #fff}.text-light{--bslib-color-fg: #f8f8f8}.bg-light{--bslib-color-bg: #f8f8f8;--bslib-color-fg: #000}.text-dark{--bslib-color-fg: #202020}.bg-dark{--bslib-color-bg: #202020;--bslib-color-fg: #fff}.bg-gradient-blue-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #1e4ac2;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #1e4ac2;color:#fff}.bg-gradient-blue-purple{--bslib-color-fg: #fff;--bslib-color-bg: #2e52b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 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diff --git a/docs/deps/bootstrap-5.3.1/font.css b/docs/deps/bootstrap-5.3.1/font.css
new file mode 100644
index 0000000..b74f3e1
--- /dev/null
+++ b/docs/deps/bootstrap-5.3.1/font.css
@@ -0,0 +1,124 @@
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 300;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 400;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 500;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 600;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 700;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: italic;
+  font-weight: 800;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 300;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 400;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 500;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 600;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 700;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff) format('woff');
+}
+@font-face {
+  font-family: 'Open Sans';
+  font-style: normal;
+  font-weight: 800;
+  font-stretch: normal;
+  font-display: swap;
+  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff) format('woff');
+}
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff) format('woff');
+}
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: italic;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff) format('woff');
+}
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff) format('woff');
+}
+@font-face {
+  font-family: 'Source Code Pro';
+  font-style: normal;
+  font-weight: 600;
+  font-display: swap;
+  src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff) format('woff');
+}
diff --git a/docs/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff b/docs/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff
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diff --git a/docs/deps/data-deps.txt b/docs/deps/data-deps.txt
index 21592b5..693b82d 100644
--- a/docs/deps/data-deps.txt
+++ b/docs/deps/data-deps.txt
@@ -1,4 +1,4 @@
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
-<link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet" />
-<script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script>
+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
diff --git a/docs/index.html b/docs/index.html
index 6ff8803..0a7a429 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -5,15 +5,23 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="Microbiome time series simulation with generalized Lotka-Volterra model, Self-Organized Instability (SOI), and other models. Hubbell's Neutral model is used to determine the abundance matrix. The resulting abundance matrix is applied to (Tree)SummarizedExperiment objects.">
+<meta name="description" content="
+    Microbiome time series simulation with generalized Lotka-Volterra model,
+    Self-Organized Instability (SOI), and other models. Hubbell's Neutral model
+    is used to determine the abundance matrix. The resulting abundance matrix
+    is applied to (Tree)SummarizedExperiment objects.">
 <title>Microbiome Data Simulation • miaSim</title>
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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 <!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><link href="extra.css" rel="stylesheet">
 <meta property="og:title" content="Microbiome Data Simulation">
-<meta property="og:description" content="Microbiome time series simulation with generalized Lotka-Volterra model, Self-Organized Instability (SOI), and other models. Hubbell's Neutral model is used to determine the abundance matrix. The resulting abundance matrix is applied to (Tree)SummarizedExperiment objects.">
+<meta property="og:description" content="
+    Microbiome time series simulation with generalized Lotka-Volterra model,
+    Self-Organized Instability (SOI), and other models. Hubbell's Neutral model
+    is used to determine the abundance matrix. The resulting abundance matrix
+    is applied to (Tree)SummarizedExperiment objects.">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -27,7 +35,7 @@
     
     <a class="navbar-brand me-2" href="index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -66,13 +74,10 @@
 </h1></div>
 <!-- badges: start -->
 
-<p><a href="https://github.com/microbiome/miaSim/actions" class="external-link"><img src="https://github.com/microbiome/miaSim/workflows/R-CMD-check/badge.svg" alt="R-CMD-check"></a> <!-- badges: end --></p>
 <div class="section level2">
 <h2 id="miasim">miaSim<a class="anchor" aria-label="anchor" href="#miasim"></a>
 </h2>
-<p>This miaSim R/Bioconductor package can be used to simulate (longitudinal) data for the benchmarking and analysis of quantitative models of microbial communities.</p>
-<p>For installation and use, see the <a href="https://microbiome.github.io/miaSim/articles/miaSim.html" class="external-link">Getting started</a> page.</p>
-<p>The package is based on the <code>(Tree)SummarizedExperiment</code> data container that supports microbiome data analysis. The package <a href="https://microbiome.github.io/miaSim/" class="external-link">homepage</a> provides further tutorials and references for the <a href="https://microbiome.github.io/miaSim/reference/index.html" class="external-link">implemented models</a>:</p>
+<p>This R/Bioconductor package provides tools to simulate (longitudinal) time series data from popular models in microbial ecology. The <a href="https://microbiome.github.io/miaSim/" class="external-link">homepage</a> provides tutorials and references for the <a href="https://microbiome.github.io/miaSim/reference/index.html" class="external-link">implemented models</a>:</p>
 <ul>
 <li>Self-organised instability (SOI)</li>
 <li>Hubbell’s neutral model</li>
@@ -81,6 +86,8 @@ <h2 id="miasim">miaSim<a class="anchor" aria-label="anchor" href="#miasim"></a>
 <li>Stochastic logistic model</li>
 <li>Consumer-resource model</li>
 </ul>
+<p>These methods can be used for <em>in silico</em> studies of microbial community dynamics or multi-omic or host-microbiome interactions. The miaSim package supports the Bioconductor <a href="https://microbiome.github.io/OMA" class="external-link">multi-assay data science framework</a> for multi-omic data integration and time series analysis, and utilizes the <code>(Tree)SummarizedExperiment</code> data container.</p>
+<p><a href="https://microbiome.github.io/miaSim/articles/miaSim.html" class="external-link">Getting started</a>.</p>
 <div class="section level3">
 <h3 id="miasimshiny">miaSimShiny<a class="anchor" aria-label="anchor" href="#miasimshiny"></a>
 </h3>
@@ -93,6 +100,12 @@ <h3 id="contributions-and-acknowledgments">Contributions and acknowledgments<a c
 <p>You can find us online from <a href="https://gitter.im/microbiome/miaverse" class="external-link">Gitter</a>.</p>
 <p>Contributions are very welcome through issues and pull requests at the <a href="https://github.com/microbiome/miaSim" class="external-link">development site</a>. We follow a git flow kind of approach. Development version should be done against the <code>main</code> branch and then merged to <code>release</code> for release. (<a href="https://guides.github.com/introduction/flow/" class="external-link uri">https://guides.github.com/introduction/flow/</a>)</p>
 <p>We are grateful to all <a href="https://github.com/microbiome/miaSim/graphs/contributors" class="external-link">contributors</a>.</p>
+<p>This research has received funding from</p>
+<ul>
+<li>the Horizon 2020 Programme of the European Union within the <a href="https://www.findingpheno.eu/" class="external-link">FindingPheno project</a> under grant agreement No 952914.</li>
+<li>Research Council of Finland (grant 330887)</li>
+</ul>
+<p><img src="reference/figures/FindingPheno2.jpg" alt="FindingPheno logo" style="height: 50px"></p>
 </div>
 <div class="section level3">
 <h3 id="citing-the-package">Citing the package<a class="anchor" aria-label="anchor" href="#citing-the-package"></a>
@@ -100,15 +113,10 @@ <h3 id="citing-the-package">Citing the package<a class="anchor" aria-label="anch
 <p><strong>Kindly cite this work</strong> as follows:</p>
 <p>Gao <em>et al.</em> (2023). Methods in Ecology and Evolution. DOI: <a href="https://doi.org/10.1111/2041-210X.14129" class="external-link">10.1111/2041-210X.14129</a></p>
 <p>For citation details, see R command <code>citation("miaSim")</code>.</p>
+<p><strong>Code of conduct</strong> Please note that the project is released with a <a href="https://bioconductor.github.io/bioc_coc_multilingual/" class="external-link">Bioconductor Code of Conduct</a>. By contributing to this project, you agree to abide by its terms.</p>
 </div>
 </div>
 </div>
-<div class="section level1">
-<h1 id="code-of-conduct">Code of conduct<a class="anchor" aria-label="anchor" href="#code-of-conduct"></a>
-</h1>
-<p>Please note that the project is released with a <a href="https://bioconductor.github.io/bioc_coc_multilingual/" class="external-link">Bioconductor Code of Conduct</a>. By contributing to this project, you agree to abide by its terms.</p>
-</div>
-
   </main><aside class="col-md-3"><div class="links">
 <h2 data-toc-skip>Links</h2>
 <ul class="list-unstyled">
@@ -155,6 +163,7 @@ <h2 data-toc-skip>Dev status</h2>
 <li><a href="https://gitter.im/microbiome/miaverse" class="external-link"><img src="https://badges.gitter.im/microbiome/mia.svg" alt="Gitter"></a></li>
 <li><a href="https://github.com/microbiome/miaSim/watchers" class="external-link"><img src="https://img.shields.io/github/watchers/microbiome/miaSim.svg?style=social" alt="Watch on GitHub"></a></li>
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+<li><a href="https://github.com/microbiome/miaSim/actions" class="external-link"><img src="https://github.com/microbiome/miaSim/workflows/R-CMD-check/badge.svg" alt="R-CMD-check"></a></li>
 </ul>
 </div>
 
@@ -169,7 +178,7 @@ <h2 data-toc-skip>Dev status</h2>
 
 <div class="pkgdown-footer-right">
   <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index ca50490..55c2fd2 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -1,7 +1,7 @@
-pandoc: 3.1.2
-pkgdown: 2.0.7.9000
-pkgdown_sha: c9206802f2888992de92aa41f517ba7812f05331
+pandoc: 2.17.1.1
+pkgdown: 2.0.7
+pkgdown_sha: ~
 articles:
   miaSim: miaSim.html
-last_built: 2023-08-09T08:42Z
+last_built: 2024-01-08T09:20Z
 
diff --git a/docs/reference/dot-applyInterType.html b/docs/reference/dot-applyInterType.html
index 2875e0a..b2a92a9 100644
--- a/docs/reference/dot-applyInterType.html
+++ b/docs/reference/dot-applyInterType.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A helper function to be used in combination with .getInteractions()"><title>Generate pairs of interactions according to interaction types — .applyInterType • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate pairs of interactions according to interaction types — .applyInterType"><meta property="og:description" content="A helper function to be used in combination with .getInteractions()"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="A helper function to be used in combination with .getInteractions()"><title>Generate pairs of interactions according to interaction types — .applyInterType • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate pairs of interactions according to interaction types — .applyInterType"><meta property="og:description" content="A helper function to be used in combination with .getInteractions()"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -86,7 +86,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/dot-estimateAFromSimulations.html b/docs/reference/dot-estimateAFromSimulations.html
index 2760e8f..35b6f56 100644
--- a/docs/reference/dot-estimateAFromSimulations.html
+++ b/docs/reference/dot-estimateAFromSimulations.html
@@ -1,6 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="generate matrix A from the comparisons between simulations with one absent
-species and a simulation with complete species (leave-one-out)"><title>Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations"><meta property="og:description" content="generate matrix A from the comparisons between simulations with one absent
+species and a simulation with complete species (leave-one-out)"><title>Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations"><meta property="og:description" content="generate matrix A from the comparisons between simulations with one absent
 species and a simulation with complete species (leave-one-out)"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -125,7 +125,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/dot-getInteractions.html b/docs/reference/dot-getInteractions.html
index 4cb50c9..1562a34 100644
--- a/docs/reference/dot-getInteractions.html
+++ b/docs/reference/dot-getInteractions.html
@@ -1,6 +1,8 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate interactions according to five types of interactions and their
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+weights"><title>Generate interactions according to five types of interactions and their
+weights — .getInteractions • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate interactions according to five types of interactions and their
+weights — .getInteractions"><meta property="og:description" content="Generate interactions according to five types of interactions and their
 weights"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -12,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,7 +44,8 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Generate interactions according to five types of interactions and their weights</h1>
+      <img src="" class="logo" alt=""><h1>Generate interactions according to five types of interactions and their
+weights</h1>
       <small class="dont-index">Source: <a href="https://github.com/microbiome/miaSim/blob/HEAD/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>dot-getInteractions.Rd</code></div>
     </div>
@@ -90,7 +93,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/reference/dot-isPosInt.html b/docs/reference/dot-isPosInt.html
index dfa4a8a..eb9ca32 100644
--- a/docs/reference/dot-isPosInt.html
+++ b/docs/reference/dot-isPosInt.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Check whether a number is a positive integer"><title>Check whether a number is a positive integer — .isPosInt • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Check whether a number is a positive integer — .isPosInt"><meta property="og:description" content="Check whether a number is a positive integer"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Check whether a number is a positive integer"><title>Check whether a number is a positive integer — .isPosInt • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Check whether a number is a positive integer — .isPosInt"><meta property="og:description" content="Check whether a number is a positive integer"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -80,7 +80,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/dot-replaceByZero.html b/docs/reference/dot-replaceByZero.html
index d6d4d88..0bebe30 100644
--- a/docs/reference/dot-replaceByZero.html
+++ b/docs/reference/dot-replaceByZero.html
@@ -2,7 +2,7 @@
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="If the list contains m elements, then lengths of each element must be m, too.
 This function is intended to generate a list of x0 (the initial community)
 with one missing species, to prepare the parameter simulations_compare in
-estimateAFromSimulations."><title>Replace one element with zero in a list — .replaceByZero • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Replace one element with zero in a list — .replaceByZero"><meta property="og:description" content="If the list contains m elements, then lengths of each element must be m, too.
+estimateAFromSimulations."><title>Replace one element with zero in a list — .replaceByZero • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Replace one element with zero in a list — .replaceByZero"><meta property="og:description" content="If the list contains m elements, then lengths of each element must be m, too.
 This function is intended to generate a list of x0 (the initial community)
 with one missing species, to prepare the parameter simulations_compare in
 estimateAFromSimulations."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -87,7 +87,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 
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diff --git a/docs/reference/dot-simulationTimes.html b/docs/reference/dot-simulationTimes.html
index 3442d00..47a61f8 100644
--- a/docs/reference/dot-simulationTimes.html
+++ b/docs/reference/dot-simulationTimes.html
@@ -1,6 +1,8 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate simulation times and the indices of time points to return
-in simulation functions."><title>Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes"><meta property="og:description" content="Generate simulation times and the indices of time points to return
+in simulation functions."><title>Generate simulation times and the indices of time points to return
+in simulation functions. — .simulationTimes • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate simulation times and the indices of time points to return
+in simulation functions. — .simulationTimes"><meta property="og:description" content="Generate simulation times and the indices of time points to return
 in simulation functions."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -12,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,7 +44,8 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Generate simulation times and the indices of time points to return in simulation functions.</h1>
+      <img src="" class="logo" alt=""><h1>Generate simulation times and the indices of time points to return
+in simulation functions.</h1>
       <small class="dont-index">Source: <a href="https://github.com/microbiome/miaSim/blob/HEAD/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>dot-simulationTimes.Rd</code></div>
     </div>
@@ -105,7 +108,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/reference/index.html b/docs/reference/index.html
index 0557e1b..7f57075 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Function reference"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Function reference"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -68,7 +68,8 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
           
           <code><a href="dot-getInteractions.html">.getInteractions()</a></code> 
         </dt>
-        <dd>Generate interactions according to five types of interactions and their weights</dd>
+        <dd>Generate interactions according to five types of interactions and their
+weights</dd>
       </dl><dl><dt>
           
           <code><a href="dot-isPosInt.html">.isPosInt()</a></code> 
@@ -148,7 +149,7 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
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diff --git a/docs/reference/powerlawA.html b/docs/reference/powerlawA.html
index a77effc..b0a2278 100644
--- a/docs/reference/powerlawA.html
+++ b/docs/reference/powerlawA.html
@@ -5,7 +5,7 @@
 of with out-degree that reflects the heterogeneity of the powerlaw.
 A scaling factor s may be used to constrain the values of the interaction
 matrix to be within a desired range. Diagonal elements of A are defined
-by the parameter d."><title>Interaction matrix with Power-Law network adjacency matrix — powerlawA • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Interaction matrix with Power-Law network adjacency matrix — powerlawA"><meta property="og:description" content="N is the an Interspecific Interaction matrix with values drawn from
+by the parameter d."><title>Interaction matrix with Power-Law network adjacency matrix — powerlawA • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Interaction matrix with Power-Law network adjacency matrix — powerlawA"><meta property="og:description" content="N is the an Interspecific Interaction matrix with values drawn from
 a normal distribution H the interaction strength heterogeneity drawn from
 a power-law distribution with the parameter alpha, and G the adjacency matrix
 of with out-degree that reflects the heterogeneity of the powerlaw.
@@ -22,7 +22,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
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@@ -139,7 +139,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
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diff --git a/docs/reference/randomA.html b/docs/reference/randomA.html
index 7614001..a8c69d6 100644
--- a/docs/reference/randomA.html
+++ b/docs/reference/randomA.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generates a random interaction matrix for Generalized Lotka-Volterra (GLV) model."><title>Generate random interaction matrix for GLV model — randomA • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate random interaction matrix for GLV model — randomA"><meta property="og:description" content="Generates a random interaction matrix for Generalized Lotka-Volterra (GLV) model."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -10,7 +10,7 @@
     
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@@ -219,7 +219,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
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diff --git a/docs/reference/randomE.html b/docs/reference/randomE.html
index 7be91c0..a7c9519 100644
--- a/docs/reference/randomE.html
+++ b/docs/reference/randomE.html
@@ -1,7 +1,7 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate random efficiency matrix for consumer resource model from Dirichlet
 distribution, where positive efficiencies indicate the consumption of resources,
-whilst negatives indicate that the species would produce the resource."><title>Generate random efficiency matrix — randomE • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate random efficiency matrix — randomE"><meta property="og:description" content="Generate random efficiency matrix for consumer resource model from Dirichlet
+whilst negatives indicate that the species would produce the resource."><title>Generate random efficiency matrix — randomE • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate random efficiency matrix — randomE"><meta property="og:description" content="Generate random efficiency matrix for consumer resource model from Dirichlet
 distribution, where positive efficiencies indicate the consumption of resources,
 whilst negatives indicate that the species would produce the resource."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -198,7 +198,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
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+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/reference/rdirichlet.html b/docs/reference/rdirichlet.html
index 7b58bae..917e649 100644
--- a/docs/reference/rdirichlet.html
+++ b/docs/reference/rdirichlet.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate dirichlet random deviates"><title>Generate dirichlet random deviates — rdirichlet • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate dirichlet random deviates — rdirichlet"><meta property="og:description" content="Generate dirichlet random deviates"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -86,7 +86,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
 </div>
 
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diff --git a/docs/reference/simulateConsumerResource.html b/docs/reference/simulateConsumerResource.html
index a8920e9..8dda688 100644
--- a/docs/reference/simulateConsumerResource.html
+++ b/docs/reference/simulateConsumerResource.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates time series with the consumer-resource model."><title>Consumer-resource model simulation — simulateConsumerResource • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Consumer-resource model simulation — simulateConsumerResource"><meta property="og:description" content="Simulates time series with the consumer-resource model."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates time series with the consumer-resource model."><title>Consumer-resource model simulation — simulateConsumerResource • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Consumer-resource model simulation — simulateConsumerResource"><meta property="og:description" content="Simulates time series with the consumer-resource model."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -358,7 +358,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/reference/simulateEventTimes.html b/docs/reference/simulateEventTimes.html
index 42fc623..a6e50d2 100644
--- a/docs/reference/simulateEventTimes.html
+++ b/docs/reference/simulateEventTimes.html
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 <!DOCTYPE html>
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diff --git a/docs/reference/simulateGLV.html b/docs/reference/simulateGLV.html
index 4f53079..9fdd0f7 100644
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+++ b/docs/reference/simulateGLV.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
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@@ -247,7 +247,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
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diff --git a/docs/reference/simulateHubbell.html b/docs/reference/simulateHubbell.html
index 0aa2c52..0c6bcba 100644
--- a/docs/reference/simulateHubbell.html
+++ b/docs/reference/simulateHubbell.html
@@ -1,5 +1,5 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Neutral species abundances simulation according to the Hubbell model."><title>Hubbell's neutral model simulation — simulateHubbell • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Hubbell's neutral model simulation — simulateHubbell"><meta property="og:description" content="Neutral species abundances simulation according to the Hubbell model."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -138,7 +138,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/reference/simulateHubbellRates-1.png b/docs/reference/simulateHubbellRates-1.png
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diff --git a/docs/reference/simulateHubbellRates.html b/docs/reference/simulateHubbellRates.html
index c3fba0a..3457a6a 100644
--- a/docs/reference/simulateHubbellRates.html
+++ b/docs/reference/simulateHubbellRates.html
@@ -3,7 +3,7 @@
 model shows that losses in society can be replaced either by the birth of
 individuals or by immigration depending on their probabilities.
 The specific time between the events of birth or migration is calculated and
-time effect is considered to determine the next event."><title>Hubbell's neutral model simulation applied to time series — simulateHubbellRates • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Hubbell's neutral model simulation applied to time series — simulateHubbellRates"><meta property="og:description" content="Neutral species abundances simulation according to the Hubbell model. This
+time effect is considered to determine the next event."><title>Hubbell's neutral model simulation applied to time series — simulateHubbellRates • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Hubbell's neutral model simulation applied to time series — simulateHubbellRates"><meta property="og:description" content="Neutral species abundances simulation according to the Hubbell model. This
 model shows that losses in society can be replaced either by the birth of
 individuals or by immigration depending on their probabilities.
 The specific time between the events of birth or migration is calculated and
@@ -18,7 +18,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">miaSim</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.7.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.9.1</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -220,7 +220,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.9000.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/docs/reference/simulateRicker.html b/docs/reference/simulateRicker.html
index 6b8b6a2..4daf227 100644
--- a/docs/reference/simulateRicker.html
+++ b/docs/reference/simulateRicker.html
@@ -1,7 +1,7 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="The Ricker model is a discrete version of the generalized
 Lotka-Volterra model and is implemented here as proposed by Fisher and Mehta
-in PLoS ONE 2014."><title>Generate time series with the Ricker model — simulateRicker • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate time series with the Ricker model — simulateRicker"><meta property="og:description" content="The Ricker model is a discrete version of the generalized
+in PLoS ONE 2014."><title>Generate time series with the Ricker model — simulateRicker • miaSim</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><link href="../extra.css" rel="stylesheet"><meta property="og:title" content="Generate time series with the Ricker model — simulateRicker"><meta property="og:description" content="The Ricker model is a discrete version of the generalized
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@@ -14,7 +14,7 @@
     
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 </div>
 
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diff --git a/docs/reference/simulateSOI.html b/docs/reference/simulateSOI.html
index fca6e89..9b04e08 100644
--- a/docs/reference/simulateSOI.html
+++ b/docs/reference/simulateSOI.html
@@ -1,6 +1,6 @@
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diff --git a/docs/search.json b/docs/search.json
index 7b6e992..ee6bf5a 100644
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-[{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"case-study-with-miasim-strongly-interacting-species-sis-explaining-community-types","dir":"Articles > TreeSummarizedExperiment","previous_headings":"","what":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","title":"caseStudy1-SIS-TreeSE","text":"document provides detailed code required replicate case study 1 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page Reference: Origins Control Community Types Human Microbiome aim case study recalculate Figure 2 demonstrates occurrence SIS clustering results communities. figure, left right, different power-law distributions (defined alpha = 7, 3, 2, 1.6, 1.01) controls strength frequency inter-species interactions. second row, inter-species interactions visualized networks. third row, different clustering results PCoA demonstrated. case study, used sets parameters, acquired similar results.","code":""},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"load-dependencies","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"Load dependencies","title":"caseStudy1-SIS-TreeSE","text":"","code":"library(ggplot2) # library(igraph) library(colourvalues) library(GGally) library(network) library(sna) library(ape) library(dplyr) library(philentropy) library(cluster) library(miaSim)"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"define-a-function-to-generate-power-law-distribution","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"Define a function to generate power-law distribution","title":"caseStudy1-SIS-TreeSE","text":"","code":"# FIXME: probably R already has some function for this; use that to simplify the code and # avoid unnecessary duplication rpower <- function(n, alpha, norm = FALSE) {   u <- runif(n, min = 0, max = 1 - .Machine$double.eps^0.5)   power <- (1 - u)^(1 / (1 - alpha))   if (norm) {     return(power / mean(power))   } else {     return(power)   } }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"load-parameters-used-by-gibson-et-al-","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"Load parameters used by Gibson et al.","title":"caseStudy1-SIS-TreeSE","text":"","code":"params <- data.frame(   alpha = c(7, 3, 2, 1.6, 1.01),   t_end = c(20, 10, 5, 2, 1),   t_step = c(0.02, 0.01, 0.005, 0.002, 0.001) ) set.seed(42) n_species <- 100  # Define local communities; # we use here a smaller number in order to speed up demo calculations # local_communities <- seq_len(100) # Too slow!     local_communities <- c(1, 5, 10, 20) # Faster"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"create-variables-to-store-results","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"create variables to store results","title":"caseStudy1-SIS-TreeSE","text":"","code":"H <- list() df <- list() plot_hist <- list() N <- list() interactions_custom <- list() A <- list() g <- list() g_plot <- list() local_species_pool <- list() local_A <- list()"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"generate-constants-and-plot-different-distributions","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"generate constants and plot different distributions","title":"caseStudy1-SIS-TreeSE","text":"","code":"set.seed(42) for (row in seq_len(nrow(params))) {   # for each power-law distribution   print(paste(\"row =\", row))    H[[row]] <- rpower(n = n_species, alpha = params$alpha[row], norm = TRUE)   df[[row]] <- data.frame(H[[row]])   plot_hist[[row]] <- ggplot(df[[row]], aes(H[[row]])) +     ggtitle(paste(\"alpha =\", params$alpha[[row]])) +     geom_histogram(fill = \"steelblue\", color = \"grey20\", bins = 10) +     scale_y_log10(breaks = c(1, 10, 100), limits = c(1, 100)) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))      # plot_hist[[row]]   print(plot_hist[[row]])    N[[row]] <- matrix(rnorm(n = n_species^2, mean = 0, sd = 1), nrow = n_species)   diag(N[[row]]) <- 0   interactions_custom[[row]] <- N[[row]] %*% diag(H[[row]])   A[[row]] <- randomA(     n_species = 100,     diagonal = -1,     scale_off_diagonal = 0.07,     connectance = 1,     interactions = interactions_custom[[row]]   )   g[[row]] <- graph_from_adjacency_matrix(A[[row]], weighted = TRUE, diag = FALSE)   print(paste(\"max edge weight =\", max(E(g[[row]])$weight)))   E(g[[row]])$color <- head(colour_values(c(abs(E(g[[row]])$weight), 0), alpha = 0, include_alpha = TRUE), -1)    g_plot[[row]] <- ggnet2(     net = g[[row]],     mode = \"circle\",     node.color = \"black\",     node.size = 1,     edge.color = \"color\", edge.alpha = 0.25   ) +      labs(title=paste(\"alpha =\", params$alpha[[row]])) +      theme(plot.title = element_text(hjust = 0.5))    print(g_plot[[row]])    local_species_pool[[row]] <- list()   local_A[[row]] <- list()    for (local_community in local_communities) {     local_species_pool[[row]][[local_community]] <- sample(x = 100, size = 80)     local_A[[row]][[local_community]] <- A[[row]][local_species_pool[[row]][[local_community]], local_species_pool[[row]][[local_community]]]   } }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"identify-sis-using-hrow","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"identify SIS using H[[row]]","title":"caseStudy1-SIS-TreeSE","text":"","code":"SIS <- list() group_sis <- list() for (row in seq_len(nrow(params))) {   SIS[[row]] <- head(order(H[[row]], decreasing = TRUE), 1)   group_sis[[row]] <- list()   for (local_community in local_communities) {     if (paste0(\"sp\", SIS[[row]]) %in% rownames(local_A[[row]][[local_community]])) {       group_sis[[row]][[local_community]] <- \"with SIS\"     } else {       group_sis[[row]][[local_community]] <- \"without SIS\"     }   }   group_sis[[row]] <- unlist(group_sis[[row]]) }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"simulate-glv-models-using-different-growth-rates-in-4-scenarios","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"simulate GLV models using different growth rates in 4 scenarios","title":"caseStudy1-SIS-TreeSE","text":"first scenario original one Gibson et al., rest explorations (second scenario assigning various growth rates random species; third scenario assigning faster growth rate SIS; fourth scenario assigning faster growth rate non-SIS). Different scenarios implemented overwriting default random growth rates simulation function.","code":""},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"prepare-result-lists-and-scenarios","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"prepare result lists and scenarios","title":"caseStudy1-SIS-TreeSE","text":"case study, focus first scenario. example uses smaller number local communities faster computations code can easily adapted vary numbers. order run several scenarios, can replace scenario <- 1 loop like (scenario seq_along(scenarios)) {...}.","code":"simulation_GLV <- list() otu_table <- list() jsd <- list() PCoA <- list() PCoA_coord <- list() bestk <- list() PAM <- list() SI <- list() groups <- list() pcoa_plot <- list() dfs_to_bind <- list()  scenarios <- c(\"original\", \"various growth rates\", \"SIS grows faster\", \"non-SIS grows faster\") growthRates <- vector(mode = \"list\", length = 4) growthRates[[1]] <- rep(1, 80) growthRates[[2]] <- NULL # growthRates for scenario 3 and 4 are assigned in the following loop customPalette <- c(\"#d95319\", \"#0072bd\", \"#edb120\", \"#7e2f8e\") scenario <- 1   print(paste0(\"scenario: \", scenarios[scenario]))    ### make new lists ####   simulation_GLV[[scenario]] <- list()   otu_table[[scenario]] <- list()   jsd[[scenario]] <- list()   PCoA[[scenario]] <- list()   PCoA_coord[[scenario]] <- list()   bestk[[scenario]] <- list()   PAM[[scenario]] <- list()   SI[[scenario]] <- list()   groups[[scenario]] <- list()   pcoa_plot[[scenario]] <- list()    ### run simulations ####   for (row in seq_len(nrow(params))) {     simulation_GLV[[scenario]][[row]] <- list()     otu_table[[scenario]][[row]] <- data.frame(matrix(nrow = 0, ncol = 100))     colnames(otu_table[[scenario]][[row]]) <- paste0(\"sp\", 1:100)     dfs_to_bind[[scenario]] <- list()      #### overwrite growth rates ####         # for (local_community in local_communities) {      for (local_community in local_communities) {          if (scenario == 3) {         growthRates[[scenario]] <- 9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 0.1       }       if (scenario == 4) {         growthRates[[scenario]] <- -9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 10       }        simulation_GLV[[scenario]][[row]][[local_community]] <- simulateGLV(         n_species = 80,         names_species = paste0(\"sp\", local_species_pool[[row]][[local_community]]),         A = local_A[[row]][[local_community]],         x0 = rep(1, 80),         growth_rates = growthRates[[scenario]],         t_end = params$t_end[row],         t_step = params$t_step[row],         stochastic = FALSE,         norm = TRUE       )        # makePlot(simulation_GLV[[scenario]][[row]][[local_community]]$matrix)       dfs_to_bind[[scenario]] <- append(dfs_to_bind[[scenario]], list(simulation_GLV[[scenario]][[row]][[local_community]]$matrix[time = 1000, ]))     }      ### form otu tables ####     otu_table[[scenario]][[row]] <- bind_rows(dfs_to_bind[[scenario]])     otu_table[[scenario]][[row]] <- subset(otu_table[[scenario]][[row]], select = -time)     otu_table[[scenario]][[row]][is.na(otu_table[[scenario]][[row]])] <- 0      ### calculate jensen-shannon distance and plot PCoA ####     jsd[[scenario]][[row]] <- JSD(as.matrix(otu_table[[scenario]][[row]]))     PCoA[[scenario]][[row]] <- ape::pcoa(as.dist(jsd[[scenario]][[row]]))     PCoA_coord[[scenario]][[row]] <- PCoA[[scenario]][[row]]$vectors[, 1:2]     colnames(PCoA_coord[[scenario]][[row]]) <- c(\"PCo1\", \"PCo2\")      bestk[[scenario]][[row]] <- 2     PAM[[scenario]][[row]] <- pam(PCoA[[scenario]][[row]]$vectors, k = 2)     SI[[scenario]][[row]] <- PAM[[scenario]][[row]]$silinfo$avg.width      # Too slow, let us limit k to 2..3 in the example (earlier 3:10)     for (k in 2:3) {       PAMtemp <- pam(PCoA[[scenario]][[row]]$vectors, k = k)       if (PAMtemp$silinfo$avg.width > SI[[scenario]][[row]]) {         SI[[scenario]][[row]] <- PAMtemp$silinfo$avg.width         bestk[[scenario]][[row]] <- k         PAM[[scenario]][[row]] <- PAMtemp       }     }      groups[[scenario]][[row]] <- factor(PAM[[scenario]][[row]]$clustering)      dataframe_pcoa <- as.data.frame(PCoA_coord[[scenario]][[row]])     dataframe_pcoa$group <- groups[[scenario]][[row]]     p <- ggplot(       dataframe_pcoa,       aes(x = PCo1, y = PCo2, color = group)     ) +       labs(title = paste(\"scenario\", scenario, scenarios[scenario], \";\", \"alpha =\", params$alpha[[row]])) +       geom_point() +       theme_bw() +       scale_color_manual(values = customPalette) +       theme(legend.position = \"none\", plot.title = element_text(hjust = 0.5))            # Store the plot     pcoa_plot[[scenario]][[row]] <- p     # Show the plot     print(pcoa_plot[[scenario]][[row]])   }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"validate-relationship-between-cluster-and-sis","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"validate relationship between cluster and SIS","title":"caseStudy1-SIS-TreeSE","text":"compare previou PCoA results PCoA results rendered /without SIS, can find last figures (alpha = 1.6 alpha=1.01, ’s one SIS), community types clustered way rendered /without SIS, indicating occurrence SIS can influence community types.","code":"pcoa_plot_sis <- list() for (row in seq_len(nrow(params))) {   pcoa_plot_sis[[row]] <- ggplot(as.data.frame(PCoA_coord[[1]][[row]]), aes(x = PCo1, y = PCo2)) +     geom_point(aes(colour = group_sis[[row]])) +     labs(title=paste(\"alpha =\", params$alpha[[row]])) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))   print(pcoa_plot_sis[[row]]) # pcoa_validation_ plots }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"case-study-with-miasim-nutrient-concentration-threshold","dir":"Articles > TreeSummarizedExperiment","previous_headings":"","what":"Case study with miaSim: Nutrient concentration threshold","title":"caseStudy2-NutrientThreshold-TreeSE","text":"document provides detailed code required replicate case study 2 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page Reference: Available energy fluxes drive transition diversity, stability, functional structure microbial communities. aim case study design demonstrate existence nutrient concentration threshold limits beta-diversity communities. fulfill aim, designed gradient environments, well gradient communities.","code":""},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"load-dependencies","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Load dependencies","title":"caseStudy2-NutrientThreshold-TreeSE","text":"batch simulations time-consuming. reduce calculation burden, decreased numbers environments, resources, communities original 10 5, made minor modifications.","code":"library(ggplot2) library(vegan) library(reshape2) library(mia) library(miaSim) library(philentropy) library(cluster)  # Load auxiliary functions from: # https://github.com/microbiome/miaSim/blob/main/vignettes/funcs.R source(\"funcs.R\")"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"set-random-seed-and-initial-shared-parameters","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Set random seed and initial shared parameters","title":"caseStudy2-NutrientThreshold-TreeSE","text":"","code":"set.seed(42) n_species <- 5 n_resources <- 5 E <- randomE(n_species, n_resources, mean_consumption = 1, mean_production = 3) growth_rates <- runif(n_species) monod_constant <- matrix(rbeta(n_species*n_resources, 10,10),                                nrow=n_species,                    ncol=n_resources) t_store <- 50 n.instances <- 1 # no stochastic process: no need to repeat"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"initialization","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Initialization","title":"caseStudy2-NutrientThreshold-TreeSE","text":"Generate communities.  Initialize shared parameters. Generate resource gradients.","code":"n.community <- 5 # you can also try 20 or even 50. density.community <- 0.8 set.seed(42) # Check the Rmd source file for gradient.df.generator function source code: # https://github.com/microbiome/miaSim/blob/main/vignettes/caseStudy2-NutrientThreshold.Rmd community.initial.df <- gradient.df.generator(n_row = n.community,                                               n_col = n_species,                                               density_row = density.community,                           max_gradient = 0.7,                           error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 dist.community.initial.df <- vegdist(community.initial.df, method = \"bray\")  # Create TreeSummarizedExperiment object for the initial community community.initial.tse <- TreeSummarizedExperiment(assays=SimpleList(abundances=t(as.matrix(community.initial.df))))  # Visualze dissimilarities for the initial community makeHeatmap(as.matrix(dist.community.initial.df),             title = \"dissimilarity matrix\",             x.label = \"community.1\",             y.label = \"community.2\") crm_params <- list(     n_species = n_species,     n_resources = n_resources,     x0 = NULL,     E = E,     resources = rep(1,n_resources),     monod_constant = monod_constant,     migration_p = 0,     stochastic = FALSE,     t_start = 0,     t_end = 50,     t_step = 1,     t_store = t_store,     growth_rates = growth_rates,     norm=FALSE) resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5 density.medium <- 0.8 n_species <- 5 set.seed(42)  resource.initial.df <- gradient.df.generator(n_row = n.medium,     n_col = n_resources, density_row = density.medium,     max_gradient = 0.7, error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"simulations","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Simulations","title":"caseStudy2-NutrientThreshold-TreeSE","text":"","code":"# Pick the initial community initial.community <- assay(community.initial.tse, \"abundances\")  crmExample <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     E = E,     x0 = as.numeric(initial.community[,1]), # First sample from the initial community     resources = as.numeric(resourceConcentration[3]*resource.initial.df[1,]),     growth_rates = growth_rates,     monod_constant = monod_constant,     stochastic = FALSE,     t_end = 50,     t_step = 1,     t_store = 50,     norm = FALSE)  #makePlot(crmExample$matrix) tsem <- meltAssay(crmExample, assay.type = \"counts\", add_col_data = \"time\") p <- ggplot(tsem, aes(x=time, y=counts, color = FeatureID)) +         geom_line(show.legend = TRUE, lwd=0.5) +         labs(title=\"Species abundances by time\") +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) print(p) #makePlotRes(crmExample$resources) df <- as.data.frame(metadata(crmExample)$resources) df$time <- colData(crmExample)$time dft <-  melt(df, id=\"time\") names(dft) <- c(\"time\", \"resources\", \"S.t\") p <- ggplot(dft, aes(x=time, y=S.t, col = resources)) +         geom_line(show.legend = TRUE, lwd=0.5) +         labs(title=\"Quantity of compounds by time\") +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) # Generate simulations and store the final community in community.simulation # Here the final relative abundance table is basisComposition_prop.  set.seed(42) resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5  # make use of parallel computing provided by package `foreach` library(foreach) library(doParallel) cl <- makeCluster(max(detectCores()/2, 1)) registerDoParallel(cl) basisComposition <- foreach(resConc = resourceConcentration, .combine = rbind) %:%      foreach(medium = seq_len(n.medium), .combine = rbind, .packages = \"miaSim\") %dopar% {         crm_params$resources <- as.numeric(resource.initial.df[medium,]*resConc)         paramx0 <- as.list(as.data.frame(t(community.initial.df)))         crm_param_iter <- list(x0 = paramx0)         print(paste(\"resConc\", resConc, \"medium\", medium))         crmMoments <- miaSim::generateSimulations(model = \"simulateConsumerResource\",                                            params_list = crm_params,                                            param_iter = crm_param_iter,                                            n_instances = n.instances,                                            t_end = 50)         # pick community composition at the last time point                as.data.frame(do.call(rbind, lapply(crmMoments, function (x) {assay(x, \"counts\")[, ncol(x)]})))     } stopCluster(cl) basisComposition_prop <- basisComposition / rowSums(basisComposition)"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"make-umap-plots","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Make UMAP plots","title":"caseStudy2-NutrientThreshold-TreeSE","text":"step, plot result stored umap_CRM_gradient_plot, visualized different facets.","code":"resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5 n.community <- 5 concentration <- as.factor(rep(resourceConcentration, each = n.medium*n.community)) medium <- as.factor(rep(seq_len(n.medium), each = n.community ,times = length(resourceConcentration) )) community <- as.factor(rep(seq_len(n.community), times = length(resourceConcentration)*n.medium))  # Visualize with UMAP   ## Provide the community data as TreeSE object library(scater) tse <- TreeSummarizedExperiment(                 assays=SimpleList(abundances=t(as.matrix(basisComposition))),         colData=DataFrame(Medium=medium,                               Concentration=concentration,                       Community=community                       )             ) ## Add UMAP tse <- runUMAP(tse, name = \"UMAP\", exprs_values = \"abundances\")  ## Plot UMAP plotReducedDim(tse, \"UMAP\", colour_by=\"Medium\", shape_by=\"Concentration\")  # Same for compositional abundance data library(mia) ## add relative abundances; tse <- transformSamples(tse, assay.type=\"abundances\", method=\"relabundance\") tse <- runUMAP(tse, name = \"UMAP_compositional\", exprs_values = \"relabundance\") plotReducedDim(tse, \"UMAP_compositional\", colour_by=\"Medium\", shape_by=\"Concentration\") # Finally with communities umap_CRM_gradient_plot <<- plotReducedDim(tse, \"UMAP_compositional\",    colour_by=\"Medium\", shape_by=\"Community\", size_by=\"Concentration\")"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"visualization-of-the-results","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Visualization of the results","title":"caseStudy2-NutrientThreshold-TreeSE","text":"part, different visualization results demonstrate (various facets) gradual change communities’ beta diversity. first figure indicates initial community composition important combinations initial available resources. first sub-figure second figure demonstrates oligotrophic (less available nutrients) environment, communities won’t change much given time, whilst last two sub-figures resemble , implying nutrient longer limiting factor beta-diversity community. pattern displayed following “curve plot”. third figure, second th community always stays similar, despite initial dissimilarity, indicating might belong one community type. can validated input 20 even 50 n.community case study: communities turns clusters sub-figures.","code":"# FIXME: the visual output can be polished later. print(umap_CRM_gradient_plot) umap_CRM_gradient_plot + facet_grid(size_by ~ ., labeller = label_both) umap_CRM_gradient_plot + facet_grid(colour_by ~ size_by, labeller = label_both) umap_CRM_gradient_plot + facet_grid(shape_by ~ size_by, labeller = label_both) umap_CRM_gradient_plot + facet_grid(shape_by ~ colour_by, labeller = label_both)"},{"path":"/articles/miaSim.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"miaSim: Microbiome Data Simulation","text":"miaSim implements tools microbiome data simulation based varying ecological modeling assumptions. can used simulate species abundance matrices, including time series. Detailed function documentation available function reference miaSim package supports R/Bioconductor multi-assay framework. information operating data format microbial ecology, see online tutorial.","code":""},{"path":"/articles/miaSim.html","id":"installation","dir":"Articles","previous_headings":"Introduction","what":"Installation","title":"miaSim: Microbiome Data Simulation","text":"stable Bioconductor release version can installed follows. experimental Bioconductor devel version can installed follows. Load library","code":"if (!requireNamespace(\"BiocManager\", quietly = TRUE))     install.packages(\"BiocManager\") if (!requireNamespace(\"miaSim\", quietly = TRUE))         BiocManager::install(\"miaSim\") if (!requireNamespace(\"BiocManager\", quietly = TRUE))     install.packages(\"BiocManager\") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install(\"miaSim\") library(miaSim)"},{"path":[]},{"path":"/articles/miaSim.html","id":"generate-species-interaction-matrices-for-the-models","dir":"Articles","previous_headings":"Introduction > Examples","what":"Generate species interaction matrices for the models","title":"miaSim: Microbiome Data Simulation","text":"models rely interaction matrices represents interaction heterogeneity species. interaction matrix can generated different distributional assumptions. Generate interactions normal distribution: Generate interactions uniform distribution:","code":"A_normal <- powerlawA(n_species = 4, alpha = 3) A_uniform <- randomA(n_species = 10,                  diagonal = -0.4,                      connectance = 0.5,              interactions = runif(n = 10^2, min = -0.8, max = 0.8))"},{"path":"/articles/miaSim.html","id":"hubbell-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Hubbell model","title":"miaSim: Microbiome Data Simulation","text":"Hubbell Neutral simulation model characterizes diversity relative abundance species ecological communities assuming migration, births deaths interactions. Losses become replaced migration birth. One can also simulate parameters Hubbell model.","code":"tse_hubbell <- simulateHubbell(n_species = 8,                                M = 10,                    carrying_capacity = 1000,                                k_events = 50,                    migration_p = 0.02,                    t_end = 100) params_hubbell <- simulateHubbellRates(x0 = c(0,5,10),     migration_p = 0.1, metacommunity_probability = NULL, k_events = 1,      growth_rates = NULL, norm = FALSE, t_end=1000)"},{"path":"/articles/miaSim.html","id":"stochastic-logistic-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Stochastic logistic model","title":"miaSim: Microbiome Data Simulation","text":"Stochastic logistic model used determine dead alive counts community.","code":"tse_logistic <- simulateStochasticLogistic(n_species = 5)"},{"path":"/articles/miaSim.html","id":"self-organised-instability-soi","dir":"Articles","previous_headings":"Introduction > Examples","what":"Self-Organised Instability (SOI)","title":"miaSim: Microbiome Data Simulation","text":"Self-Organised Instability (SOI) model generates time series communities accelerates stochastic simulation.","code":"tse_soi <- simulateSOI(n_species = 4, carrying_capacity = 1000,                        A = A_normal, k_events=5,                x0 = NULL,t_end = 150, norm = TRUE)"},{"path":"/articles/miaSim.html","id":"consumer-resource-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Consumer-resource model","title":"miaSim: Microbiome Data Simulation","text":"consumer resource model requires randomE function. returns matrix containing production rates consumption rates species. resulting matrix used determination resource consumption efficiency. visualize simulated dynamics using tools miaTime package.","code":"# Consumer-resource model as a TreeSE object tse_crm <- simulateConsumerResource(n_species = 2,                                     n_resources = 4,                                     E = randomE(n_species = 2, n_resources = 4))"},{"path":"/articles/miaSim.html","id":"generalized-lotka-volterra-glv","dir":"Articles","previous_headings":"Introduction > Examples","what":"Generalized Lotka-Volterra (gLV)","title":"miaSim: Microbiome Data Simulation","text":"generalized Lotka-Volterra simulation model generates time-series assuming microbial population dynamics interaction.","code":"tse_glv <- simulateGLV(n_species = 4,                        A = A_normal,                t_start = 0,                         t_store = 1000,                stochastic = FALSE,                norm = FALSE)"},{"path":"/articles/miaSim.html","id":"ricker-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Ricker model","title":"miaSim: Microbiome Data Simulation","text":"Ricker model discrete version gLV: number species specified interaction matrix must species used models.","code":"tse_ricker <- simulateRicker(n_species=4, A = A_normal, t_end=100, norm = FALSE)"},{"path":"/articles/miaSim.html","id":"data-containers","dir":"Articles","previous_headings":"Introduction","what":"Data containers","title":"miaSim: Microbiome Data Simulation","text":"simulated data sets returned TreeSummarizedExperiment objects. provides access broad range tools microbiome analysis support format (see microbiome.github.io). examples object manipulation analysis can found OMA Online Manual. instance, plot population density can use miaViz package:","code":""},{"path":"/articles/miaSim.html","id":"case-studies","dir":"Articles","previous_headings":"Introduction","what":"Case studies","title":"miaSim: Microbiome Data Simulation","text":"Source code replicating published case studies using miaSim package (Gao et al. 2023) available Github (based phyloseq data container).","code":""},{"path":"/articles/miaSim.html","id":"related-work","dir":"Articles","previous_headings":"Introduction","what":"Related work","title":"miaSim: Microbiome Data Simulation","text":"micodymora Python package microbiome simulation","code":""},{"path":"/articles/miaSim.html","id":"session-info","dir":"Articles","previous_headings":"","what":"Session info","title":"miaSim: Microbiome Data Simulation","text":"","code":"sessionInfo() ## R version 4.3.1 (2023-06-16) ## Platform: x86_64-apple-darwin20 (64-bit) ## Running under: macOS Ventura 13.4.1 ##  ## Matrix products: default ## BLAS:   /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRblas.0.dylib  ## LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0 ##  ## locale: ## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 ##  ## time zone: Europe/Helsinki ## tzcode source: internal ##  ## attached base packages: ## [1] stats4    stats     graphics  grDevices utils     datasets  methods   ## [8] base      ##  ## other attached packages: ##  [1] miaSim_1.7.8                   TreeSummarizedExperiment_2.9.0 ##  [3] Biostrings_2.69.2              XVector_0.41.1                 ##  [5] SingleCellExperiment_1.23.0    SummarizedExperiment_1.31.1    ##  [7] Biobase_2.61.0                 GenomicRanges_1.53.1           ##  [9] GenomeInfoDb_1.37.2            IRanges_2.35.2                 ## [11] S4Vectors_0.39.1               BiocGenerics_0.47.0            ## [13] MatrixGenerics_1.13.1          matrixStats_1.0.0              ## [15] BiocStyle_2.29.1               ##  ## loaded via a namespace (and not attached): ##  [1] xfun_0.39               bslib_0.5.0             poweRlaw_0.70.6         ##  [4] lattice_0.21-8          yulab.utils_0.0.6       vctrs_0.6.3             ##  [7] tools_4.3.1             bitops_1.0-7            generics_0.1.3          ## [10] parallel_4.3.1          tibble_3.2.1            fansi_1.0.4             ## [13] pkgconfig_2.0.3         Matrix_1.6-0            desc_1.4.2              ## [16] lifecycle_1.0.3         GenomeInfoDbData_1.2.10 compiler_4.3.1          ## [19] stringr_1.5.0           treeio_1.25.2           textshaping_0.3.6       ## [22] codetools_0.2-19        htmltools_0.5.5         sass_0.4.7              ## [25] lazyeval_0.2.2          RCurl_1.98-1.12         yaml_2.3.7              ## [28] pracma_2.4.2            tidyr_1.3.0             pkgdown_2.0.7.9000      ## [31] pillar_1.9.0            crayon_1.5.2            jquerylib_0.1.4         ## [34] BiocParallel_1.35.3     DelayedArray_0.27.10    cachem_1.0.8            ## [37] abind_1.4-5             nlme_3.1-162            tidyselect_1.2.0        ## [40] digest_0.6.33           stringi_1.7.12          dplyr_1.1.2             ## [43] purrr_1.0.1             bookdown_0.34           rprojroot_2.0.3         ## [46] fastmap_1.1.1           grid_4.3.1              cli_3.6.1               ## [49] SparseArray_1.1.11      magrittr_2.0.3          S4Arrays_1.1.5          ## [52] utf8_1.2.3              ape_5.7-1               rmarkdown_2.23          ## [55] deSolve_1.36            ragg_1.2.5              memoise_2.0.1           ## [58] evaluate_0.21           knitr_1.43              rlang_1.1.1             ## [61] Rcpp_1.0.11             tidytree_0.4.4          glue_1.6.2              ## [64] BiocManager_1.30.21.1   rstudioapi_0.15.0       jsonlite_1.8.7          ## [67] R6_2.5.1                systemfonts_1.0.4       fs_1.6.3                ## [70] zlibbioc_1.47.0"},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"introduction","dir":"Articles > Phyloseq","previous_headings":"","what":"Introduction","title":"caseStudy1-SIS-phyloseq","text":"document provides detailed code required replicate case study 1 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 replication study implemented phyloseq. TreeSE package since upgraded use TreeSE data container. general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page","code":""},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"case-study-1-strongly-interacting-species-sis-explaining-community-types","dir":"Articles > Phyloseq","previous_headings":"","what":"Case study 1: Strongly interacting species (SIS) explaining community types","title":"caseStudy1-SIS-phyloseq","text":"(Reference: Origins Control Community Types Human Microbiome) aim case study recalculate Figure 2 demonstrates occurrence SIS clustering results communities. figure, left right, different power-law distributions (defined alpha = 7, 3, 2, 1.6, 1.01) controls strength frequency inter-species interactions. second row, inter-species interactions visualized networks. third row, different clustering results PCoA demonstrated. case study, used sets parameters, acquired similar results.","code":""},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"setup","dir":"Articles > Phyloseq","previous_headings":"Case study 1: Strongly interacting species (SIS) explaining community types","what":"Setup","title":"caseStudy1-SIS-phyloseq","text":"Let us load dependencies Define function generate power-law distribution Load parameters used Gibson et al. Create variables store results","code":"library(ggplot2) library(igraph) library(colourvalues) library(GGally) library(network) library(sna) library(dplyr) library(philentropy) library(cluster) library(ape) library(intergraph) library(umap) library(miaSim) rpower <- function(n, alpha, norm = FALSE) {   u <- runif(n, min = 0, max = 1 - .Machine$double.eps^0.5)   power <- (1 - u)^(1 / (1 - alpha))   if (norm) {     return(power / mean(power))   } else {     return(power)   } } params <- data.frame(   alpha = c(7, 3, 2, 1.6, 1.01),   t_end = c(20, 10, 5, 2, 1),   t_step = c(0.02, 0.01, 0.005, 0.002, 0.001) ) set.seed(42) n_species <- 100 H <- list() df <- list() plot_hist <- list() N <- list() interactions_custom <- list() A <- list() g <- list() g_plot <- list() local_species_pool <- list() local_A <- list()"},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"generate-constants-and-plot-different-distributions","dir":"Articles > Phyloseq","previous_headings":"Case study 1: Strongly interacting species (SIS) explaining community types","what":"Generate constants and plot different distributions","title":"caseStudy1-SIS-phyloseq","text":"Identify SIS using H[[row]] Simulate GLV models using different growth rates 4 scenarios first scenario original one Gibson et al., rest explorations (second scenario assigning various growth rates random species; third scenario assigning faster growth rate SIS; fourth scenario assigning faster growth rate non-SIS). Different scenarios implemented overwriting default random growth rates simulation function. Let us prepare result lists scenarios. case study, focus first scenario. (explore , simply remove first line, put code loop like (scenario seq_along(scenarios)) {...} .) Validate relationship cluster SIS compare previous PCoA results PCoA results rendered /without SIS, can find last figures (alpha = 1.6 alpha=1.01, ’s one SIS), community types clustered way rendered /without SIS, indicating occurrence SIS can influence community types.","code":"set.seed(42) for (row in seq_len(nrow(params))) {   # for each power-law distribution   print(paste(\"row =\", row))    H[[row]] <- rpower(n = n_species, alpha = params$alpha[row], norm = TRUE)   df[[row]] <- data.frame(H[[row]])   plot_hist[[row]] <- ggplot(df[[row]], aes(H[[row]])) +     ggtitle(paste(\"alpha =\", params$alpha[[row]])) +     geom_histogram(fill = \"steelblue\", color = \"grey20\", bins = 10) +     scale_y_log10(breaks = c(1, 10, 100), limits = c(1, 100)) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))      # plot_hist[[row]]   print(plot_hist[[row]])    N[[row]] <- matrix(rnorm(n = n_species^2, mean = 0, sd = 1), nrow = n_species)   diag(N[[row]]) <- 0   interactions_custom[[row]] <- N[[row]] %*% diag(H[[row]])   A[[row]] <- randomA(     n_species = 100,     diagonal = -1,     scale_off_diagonal = 0.07,     connectance = 1,     interactions = interactions_custom[[row]]   )   g[[row]] <- graph_from_adjacency_matrix(A[[row]], weighted = TRUE, diag = FALSE)   print(paste(\"max edge weight =\", max(E(g[[row]])$weight)))   rev_viridis <- get_palette(\"viridis\")[rev(seq_len(nrow(get_palette(\"viridis\")))), ]   E(g[[row]])$color <- head(colour_values(c(abs(E(g[[row]])$weight), 0), palette = rev_viridis, alpha = 0, include_alpha = TRUE), -1)   g_plot[[row]] <- ggnet2(     net = g[[row]],     mode = \"circle\",     node.color = \"black\",     node.size = 1,     edge.color = \"color\", edge.alpha = 0.25   ) +      ggtitle(paste(\"alpha =\", params$alpha[[row]])) +      theme(plot.title = element_text(hjust = 0.5))   # g_plot[[row]]   print(g_plot[[row]])    local_species_pool[[row]] <- list()   local_A[[row]] <- list()    for (local_community in seq_len(100)) {     local_species_pool[[row]][[local_community]] <- sample(x = 100, size = 80)     local_A[[row]][[local_community]] <- A[[row]][local_species_pool[[row]][[local_community]], local_species_pool[[row]][[local_community]]]   }   # save histogram and network plots ####   # ggsave(paste0(\"hist\", params$alpha[row], \".pdf\"), plot = plot_hist[[row]], dpi = 300, width = 6, height = 6, units = \"cm\")   # ggsave(paste0(\"net\", params$alpha[row], \".pdf\"), plot = g_plot[[row]], dpi = 300, width = 6, height = 6, units = \"cm\") } ## [1] \"row = 1\" ## [1] \"max edge weight = 0.42198663955657\" ## [1] \"row = 2\" ## [1] \"max edge weight = 1.14350270284621\" ## [1] \"row = 3\" ## [1] \"max edge weight = 12.6240910282149\" ## [1] \"row = 4\" ## [1] \"max edge weight = 11.4025806066921\" ## [1] \"row = 5\" ## [1] \"max edge weight = 19.1461396036079\" SIS <- list() group_sis <- list() for (row in seq_len(nrow(params))) {   SIS[[row]] <- head(order(H[[row]], decreasing = TRUE), 1)   group_sis[[row]] <- list()   for (local_community in seq_len(100)) {     if (paste0(\"sp\", SIS[[row]]) %in% rownames(local_A[[row]][[local_community]])) {       group_sis[[row]][[local_community]] <- \"with SIS\"     } else {       group_sis[[row]][[local_community]] <- \"without SIS\"     }   }   group_sis[[row]] <- unlist(group_sis[[row]]) } simulation_GLV <- list() otu_table <- list() jsd <- list() PCoA <- list() PCoA_coord <- list() bestk <- list() PAM <- list() SI <- list() groups <- list() pcoa_plot <- list() dfs_to_bind <- list()  scenarios <- c(\"original\", \"various growth rates\", \"SIS grows faster\", \"non-SIS grows faster\") growthRates <- vector(mode = \"list\", length = 4) growthRates[[1]] <- rep(1, 80) growthRates[[2]] <- NULL # growthRates for scenario 3 and 4 are assigned in the following loop  customPalette <- c(\"#d95319\", \"#0072bd\", \"#edb120\", \"#7e2f8e\") scenario <- 1   print(paste0(\"scenario: \", scenarios[scenario]))    ### make new lists ####   simulation_GLV[[scenario]] <- list()   otu_table[[scenario]] <- list()   jsd[[scenario]] <- list()   PCoA[[scenario]] <- list()   PCoA_coord[[scenario]] <- list()   bestk[[scenario]] <- list()   PAM[[scenario]] <- list()   SI[[scenario]] <- list()   groups[[scenario]] <- list()   pcoa_plot[[scenario]] <- list()    ### run simulations ####   for (row in seq_len(nrow(params))) {     simulation_GLV[[scenario]][[row]] <- list()     otu_table[[scenario]][[row]] <- data.frame(matrix(nrow = 0, ncol = 100))     colnames(otu_table[[scenario]][[row]]) <- paste0(\"sp\", 1:100)     dfs_to_bind[[scenario]] <- list()      #### overwrite growth rates ####     for (local_community in seq_len(100)) {       if (scenario == 3) {         growthRates[[scenario]] <- 9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 0.1       }       if (scenario == 4) {         growthRates[[scenario]] <- -9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 10       }        simulation_GLV[[scenario]][[row]][[local_community]] <- simulateGLV(         n_species = 80,         names_species = paste0(\"sp\", local_species_pool[[row]][[local_community]]),         A = local_A[[row]][[local_community]],         x0 = rep(1, 80),         growth_rates = growthRates[[scenario]],         t_end = params$t_end[row],         t_step = params$t_step[row],         stochastic = FALSE,         norm = TRUE       )        # makePlot(simulation_GLV[[scenario]][[row]][[local_community]]$matrix)       dfs_to_bind[[scenario]] <- append(dfs_to_bind[[scenario]], list(simulation_GLV[[scenario]][[row]][[local_community]]$matrix[time = 1000, ]))     }      ### form otu tables ####     otu_table[[scenario]][[row]] <- bind_rows(dfs_to_bind[[scenario]])     otu_table[[scenario]][[row]] <- otu_table[[scenario]][[row]][, setdiff(colnames(otu_table[[scenario]][[row]]), \"time\")] # Remove time column     otu_table[[scenario]][[row]][is.na(otu_table[[scenario]][[row]])] <- 0      ### calculate jensen-shannon distance and plot PCoA ####     jsd[[scenario]][[row]] <- JSD(as.matrix(otu_table[[scenario]][[row]]))     PCoA[[scenario]][[row]] <- ape::pcoa(as.dist(jsd[[scenario]][[row]]))     PCoA_coord[[scenario]][[row]] <- PCoA[[scenario]][[row]]$vectors[, 1:2]     colnames(PCoA_coord[[scenario]][[row]]) <- c(\"PCo1\", \"PCo2\")      bestk[[scenario]][[row]] <- 2     PAM[[scenario]][[row]] <- pam(PCoA[[scenario]][[row]]$vectors, k = 2)     SI[[scenario]][[row]] <- PAM[[scenario]][[row]]$silinfo$avg.width      for (k in 3:10) {       PAMtemp <- pam(PCoA[[scenario]][[row]]$vectors, k = k)       if (PAMtemp$silinfo$avg.width > SI[[scenario]][[row]]) {         SI[[scenario]][[row]] <- PAMtemp$silinfo$avg.width         bestk[[scenario]][[row]] <- k         PAM[[scenario]][[row]] <- PAMtemp       }     }      groups[[scenario]][[row]] <- factor(PAM[[scenario]][[row]]$clustering)      dataframe_pcoa <- as.data.frame(PCoA_coord[[scenario]][[row]])     dataframe_pcoa$group <- groups[[scenario]][[row]]     pcoa_plot[[scenario]][[row]] <- ggplot(       dataframe_pcoa,       aes(x = PCo1, y = PCo2, color = group)     ) +       ggtitle(paste(\"scenario\", scenario, scenarios[scenario], \";\", \"alpha =\", params$alpha[[row]])) +       geom_point() +       # coord_fixed(xlim = c(-1, 1), ylim = c(-1, 1)) +       theme_bw() +       scale_color_manual(values = customPalette) +       theme(legend.position = \"none\", plot.title = element_text(hjust = 0.5))     print(pcoa_plot[[scenario]][[row]])   } pcoa_plot_sis <- list() for (row in seq_len(nrow(params))) {   pcoa_plot_sis[[row]] <- ggplot(as.data.frame(PCoA_coord[[1]][[row]]), aes(x = PCo1, y = PCo2)) +     geom_point(aes(color = group_sis[[row]])) +     ggtitle(paste(\"alpha =\", params$alpha[[row]])) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))   print(pcoa_plot_sis[[row]])    # ggsave(paste0(\"pcoa_validation_\", params$alpha[row], \".pdf\"), plot = pcoa_plot_sis[[row]], dpi = 300, width = 6, height = 6, units = \"cm\") }"},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"introduction","dir":"Articles > Phyloseq","previous_headings":"","what":"Introduction","title":"caseStudy2-NutrientThreshold-phyloseq","text":"document provides detailed code required replicate case study 2 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 replication study implemented phyloseq. TreeSE package since upgraded use TreeSE data container. general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page","code":""},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"case-study-2-nutrient-concentration-threshold","dir":"Articles > Phyloseq","previous_headings":"","what":"Case study 2: Nutrient concentration threshold","title":"caseStudy2-NutrientThreshold-phyloseq","text":"(Reference: Available energy fluxes drive transition diversity, stability, functional structure microbial communities) aim case study design demonstrate existence nutrient concentration threshold limits beta-diversity communities. fulfill aim, designed gradient environments, well gradient communities.","code":""},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"setup","dir":"Articles > Phyloseq","previous_headings":"Case study 2: Nutrient concentration threshold","what":"Setup","title":"caseStudy2-NutrientThreshold-phyloseq","text":"Load dependencies (batch simulations time-consuming. reduce calculation burden, decreased numbers environments, resources, communities original 10 5, made minor modifications.) Set random seed Set initial shared parameters Define generating function. function generates data frame, row arranged increasing dissimilarity first row. Generate communities Load plotting functions   Initialize shared parameters Generate resource gradients","code":"library(ggplot2) library(vegan) library(reshape2) library(umap) library(miaSim) library(philentropy) library(ape) library(cluster) set.seed(42) n_species <- 5 n_resources <- 5 E <- randomE(n_species, n_resources, mean_consumption = 1, mean_production = 3) growth_rates <- runif(n_species) monod_constant <- matrix(rbeta(n_species*n_resources, 10,10),nrow=n_species, ncol=n_resources) t_store <- 50 n.instances <- 1 # no stochastic process: no need to repeat gradient.df.generator <- function(n_row, n_col, density_row, max_gradient, error_interval){     list_initial <- list()     dissimilarity.gradient <- seq(from = 0, to = max_gradient, length.out = n_row)     for (i in seq_len(n_row)){         print(i)         if (i == 1){             row_temp <- rbeta(n_col, 1, 1/n_col)             col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)             row_temp[col_to_remove] <- 0             list_initial[[i]] <- row_temp         } else {             while (length(list_initial) < i) {                 row_temp <- rbeta(n_col, 1, 1/n_col)                 col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)                 row_temp[col_to_remove] <- 0                 diff_temp <- abs(vegdist(rbind(list_initial[[1]], row_temp), method = \"bray\") - dissimilarity.gradient[i])                 if (diff_temp < error_interval) {                     list_initial[[i]] <- row_temp                 }             }         }     }     dataframe_to_return <- as.data.frame(t(matrix(unlist(list_initial), ncol = n_row)))     return(dataframe_to_return) } n.community <- 5 # you can also try 20 or even 50. density.community <- 0.8 set.seed(42) community.initial.df <- gradient.df.generator(n_row = n.community, n_col = n_species, density_row = density.community, max_gradient = 0.7, error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 dist.community.initial.df <- vegdist(community.initial.df, method = \"bray\") makePlot <- function(out_matrix, title = \"abundance of species by time\", obj = \"species\", y.label = \"x.t\"){     df <- as.data.frame(out_matrix)     dft <-  melt(df, id=\"time\")     names(dft)[2] = obj     names(dft)[3] = y.label     lgd = ncol(df)<= 20     ggplot(dft, aes_string(names(dft)[1], names(dft)[3], col = names(dft)[2])) +         geom_line(show.legend = lgd, lwd=0.5) +         ggtitle(title) +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) } makePlotRes <- function(out_matrix, title = \"quantity of compounds by time\"){     df <- as.data.frame(out_matrix)     dft <-  melt(df, id=\"time\")     names(dft)[2] = \"resources\"     names(dft)[3] = \"S.t\"     lgd = ncol(df)<= 20     ggplot(dft, aes(time, S.t, col = resources)) +         geom_line(show.legend = lgd, lwd=0.5) +         ggtitle(title) +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) } makeHeatmap <-function(matrix.A,                        title = \"Consumption/production matrix\",                        y.label = 'resources',                        x.label = 'species',                        midpoint_color = NULL,                        lowColor = \"red\",                        midColor = \"white\",                        highColor = \"blue\"){     df <- melt(t(matrix.A))     if (is.null(midpoint_color)) {         midpoint_color <- 0     }     names(df)<- c(\"x\", \"y\", \"strength\")     df$y <- factor(df$y, levels=rev(unique(sort(df$y))))     fig <- ggplot(df, aes(x,y,fill=strength)) + geom_tile() + coord_equal() +         theme(axis.title = element_blank()) +         scale_fill_gradient2('strength', low = lowColor, mid = midColor, high = highColor, midpoint = midpoint_color)+         theme_void() + ggtitle(title)      if (ncol(matrix.A)<=10 & nrow(matrix.A)<=10){         fig <- fig + geom_text(aes(label = round(strength, 2)))     } else if (ncol(matrix.A)<=15 & nrow(matrix.A)<=15){         fig <- fig + geom_text(aes(label = round(strength, 1)))     } else {         fig <- fig     }      fig <- fig + labs(x = x.label, y = y.label)+         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14), axis.text.x = element_text(             angle = 90))      if (nrow(matrix.A) >= 20){         # too many species         fig <- fig + theme(             axis.title.y=element_blank(),             axis.text.y=element_blank(),             axis.ticks.y=element_blank(),         )     }     if (ncol(matrix.A) >= 20){         # too many resources         fig <- fig + theme(             axis.title.x=element_blank(),             axis.text.x=element_blank(),             axis.ticks.x=element_blank()         )     }     fig } makeUMAP <- function(matrix, n_neighbors=10, min_dist=0.1, gradient=NULL, gradient_title = 'gradient', group=NULL, group2=NULL){     custom.config = umap.defaults     custom.config$n_neighbors = n_neighbors     custom.config$min_dist = min_dist      df <- as.data.frame(umap(matrix,config = custom.config)$layout)     df$gradient <- gradient      if (is.null(gradient)){         df$gradient <- 1      }     colnames(df) = c('UMAP_2', 'UMAP_1', gradient_title)     if (is.null(group)){         ggplot(df, aes_string('UMAP_2', 'UMAP_1', color=gradient_title)) +             geom_point() +             scale_color_gradient(low=\"blue\", high=\"red\")     } else {         if (is.null(group2)){             ggplot(df, aes_string('UMAP_2', 'UMAP_1', color=gradient_title)) +                 geom_point(aes(color = group)) + theme_bw()         } else {             ggplot(df, aes_string('UMAP_2', 'UMAP_1', color=gradient_title)) +                 geom_point(aes(color = group, shape = group2)) + theme_bw()         }     } }  makeHeatmap(as.matrix(dist.community.initial.df),             title = \"dissimilarity matrix\",             x.label = \"community.1\",             y.label = \"community.2\") makeUMAP(matrix = community.initial.df,          n_neighbors = 5,          group = factor(seq_len(n.community)),          gradient_title = \"community\") crm_params <- list(     n_species = n_species,     n_resources = n_resources,     x0 = NULL,     E = E,     resources = rep(1,n_resources),     monod_constant = monod_constant,     migration_p = 0,     stochastic = FALSE,     t_start = 0,     t_end = 50,     t_step = 1,     t_store = t_store,     growth_rates = growth_rates,     norm=FALSE) resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5 density.medium <- 0.8 set.seed(42) resource.initial.df <- gradient.df.generator(n_row = n.medium, n_col = n_resources, density_row = density.medium, max_gradient = 0.7, error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5"},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"test-one-run","dir":"Articles > Phyloseq","previous_headings":"Case study 2: Nutrient concentration threshold","what":"test one run","title":"caseStudy2-NutrientThreshold-phyloseq","text":"Generate simulations store final community community.simulation. step, final relative abundance table basisComposition_prop","code":"crmExample <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     E = E,     x0 = as.numeric(community.initial.df[1,]),     resources = as.numeric(resourceConcentration[3]*resource.initial.df[1,]),     growth_rates = growth_rates,     monod_constant = monod_constant,     stochastic = FALSE,     t_end = 50,     t_step = 1,     t_store = 50,     norm = FALSE) makePlot(crmExample$matrix) makePlotRes(crmExample$resources) set.seed(42) library(miaSim) community.simulation <- list() counter_i <- 1 for (resConc in resourceConcentration) {     for (medium in seq_len(n.medium)){         crm_params$resources <- as.numeric(resource.initial.df[medium,]*resConc)         paramx0 <- as.list(as.data.frame(t(community.initial.df)))         crm_param_iter <- list(x0 = paramx0)         print(paste(\"resConc\", resConc, \"medium\", medium))         crmMoments <- generateSimulations(model = \"simulateConsumerResource\",                                           params_list = crm_params,                                           param_iter = crm_param_iter,                                           n_instances = n.instances,                                           t_end = 50)         community.simulation[[counter_i]] <- as.data.frame(do.call(rbind, lapply(crmMoments, getCommunity)))         counter_i <- counter_i +1     } } basisComposition <- do.call(rbind.data.frame, community.simulation) rm(counter_i, community.simulation) basisComposition_prop <- basisComposition / rowSums(basisComposition)"},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"visualization","dir":"Articles > Phyloseq","previous_headings":"Case study 2: Nutrient concentration threshold","what":"Visualization","title":"caseStudy2-NutrientThreshold-phyloseq","text":"Make UMAP plots. step, plot result stored umap_CRM_gradient_plot, visualized different facets. part, different visualization results demonstrate (various facets) gradual change communities’ beta diversity. first figure indicates initial community composition important combinations initial available resources. first sub-figure second figure demonstrates oligotrophic (less available nutrients) environment, communities won’t change much given time, whilst last two sub-figures resemble , implying nutrient longer limiting factor beta-diversity community. pattern displayed following “curve plot”. third figure, second fourth community always stays similar, despite initial dissimilarity, indicating might belong one community type. can validated input 20 even 50 n.community case study: communities turns clusters sub-figures. “Saturation curve” average beta-diversity communities community 1 part, ’d like demonstrate average distance communities community 1 reach threshold nutrients, average distance won’t increase along total concentration nutrients. , first define function calculating mean distance first community. Construct function taking umap_CRM_coor df return mean distance Constructing dataframe save results Visualize distance plot","code":"concentration <- as.factor(rep(resourceConcentration, each = n.medium*n.community)) medium <- as.factor(rep(seq_len(n.medium), each = n.community ,times = length(resourceConcentration) )) community <- as.factor(rep(seq_len(n.community), times = length(resourceConcentration)*n.medium))  #plot the result in a UMAP space makeUMAP(basisComposition, group = medium, group2 = concentration, gradient_title = 'Medium') umap_CRM_gradient <- umap(basisComposition_prop) # umap_CRM_gradient <- umap(basisComposition) umap_CRM_coor <- as.data.frame(umap_CRM_gradient$layout) colnames(umap_CRM_coor) <- c(\"UMAP_1\", \"UMAP_2\") umap_CRM_coor <- cbind(umap_CRM_coor, concentration, medium, community) umap_CRM_gradient_plot <- ggplot(umap_CRM_coor,                                  aes(UMAP_1, UMAP_2,                                      # alpha = concentration,                                      color = medium,                                      shape = community)) +     geom_point() +     # scale_shape_manual(values = c(0, 1, 2, 5, 6, 8, 15, 16, 17, 18)) +     scale_shape_manual(values = seq(0, n.community -1 ,1)) +     scale_alpha_manual(values = seq(0.25, 1, 0.75/(length(resourceConcentration)-1))) +     theme_bw() print(umap_CRM_gradient_plot)  print(umap_CRM_gradient_plot + facet_grid(concentration ~ ., labeller = label_both))  print(umap_CRM_gradient_plot + facet_grid(medium ~ concentration, labeller = label_both))  print(umap_CRM_gradient_plot + facet_grid(community ~ concentration, labeller = label_both))  print(umap_CRM_gradient_plot + facet_grid(community ~ medium, labeller = label_both)) average_distance <- function(df, res_conc_type, com_type, method = \"euclidean\"){     sub_df <- df[df$concentration == res_conc_type & df$community == com_type,]     combines <- combn(sub_df$medium, 2)     distances <- NULL     for (i in seq_len(ncol(combines))) {         distances[i] <- dist(sub_df[combines[,i], c(1, 2)])     }     # print(distances)     return(mean(distances)) } # average_distance(umap_CRM_coor, 1, 2) distance_saturation_data <- data.frame(concentration = integer(),                                        community = integer(),                                        average_distance = numeric())  for (res_conc_type in unique(umap_CRM_coor$concentration)){     for (com_type in unique(umap_CRM_coor$community)){         ave_dist <- average_distance(umap_CRM_coor, res_conc_type, com_type)         distance_saturation_data[nrow(distance_saturation_data)+1,] <-             c(res_conc_type, com_type, ave_dist)     } } # View(distance_saturation_data) distance_saturation_data$average_distance <- as.numeric(distance_saturation_data$average_distance) distance_saturation_data$concentration <- as.factor(distance_saturation_data$concentration) distance_saturation_data$community <- as.factor(distance_saturation_data$community) distance_saturation_data_plot <- ggplot(distance_saturation_data,                                  aes(concentration, average_distance,                                      color = community,                                      group = community)) +     geom_line() + geom_point() +     scale_shape_manual(values = c(0, 1, 2, 5, 6, 8, 15, 16, 17, 18)) +     labs(x = \"resource concentration\", y = \"average distance between communities in UMAP\") +     theme_bw() print(distance_saturation_data_plot) # ggsave(paste0(\"CRMgradient_distance_curve_mod.pdf\"), plot = distance_saturation_data_plot , dpi = 300, width = 12, height = 10, units = \"cm\", scale = 2)"},{"path":"/articles/phyloseq/caseStudy3-EnvironmentalComplexity.html","id":"introduction","dir":"Articles > Phyloseq","previous_headings":"","what":"Introduction","title":"caseStudy3-EnvComplexity-phyloseq","text":"document provides detailed code required replicate case study 3 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 replication study implemented phyloseq. TreeSE package since upgraded use TreeSE data container. general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page","code":""},{"path":"/articles/phyloseq/caseStudy3-EnvironmentalComplexity.html","id":"case-study-3-environmental-complexity-impacts-on-different-communities","dir":"Articles > Phyloseq","previous_headings":"","what":"Case study 3: Environmental complexity impacts on different communities","title":"caseStudy3-EnvComplexity-phyloseq","text":"(Reference: Non-additive microbial community responses environmental complexity) aim case study recalculate patterns shown existing publication reference. specifically, left part Figure 2. case study, consumer-resource model used. number species 3 distinct communities varied communities named number species (.e. com13, com3, com4). community, floor different numbers carbon resources (nutrients) set 1, 2, 4, 8, 16, 32. original experiment, value OD600 selected y-axis represent growth yield. simulations, however, total number organisms(number individuals) used reflect growth yield.","code":""},{"path":"/articles/phyloseq/caseStudy3-EnvironmentalComplexity.html","id":"setup","dir":"Articles > Phyloseq","previous_headings":"Case study 3: Environmental complexity impacts on different communities","what":"Setup","title":"caseStudy3-EnvComplexity-phyloseq","text":"Load dependencies Set random seed Set number repeats Initial output dataframes store data Generating function. function generates data frame, row arranged increasing dissimilarity first row. Load parameters used Pacheco et al., initialized community data frame. Note step, value range theta extended. Loop different combinations (number species X theta X number repetations X number resources)","code":"library(ggplot2) library(miaSim) library(vegan) library(ggplot2) library(reshape2) set.seed(42) n_rep <- 50 result_df <- data.frame(     n_species = integer(),     theta = numeric(),     i = integer(),     n_resources = integer(),     value = numeric() )  result_df2 <- data.frame(   matrix(NA, nrow = 0, ncol = 13, dimnames = list(NULL, paste0(\"sp\", seq_len(13)))) )  sorensen_df <- data.frame(     n_species = integer(),     theta = numeric(),     rho_mean = numeric(),     rho_sd = numeric() ) gradient_df_generator <- function(n_row, n_col, density_row, max_gradient, error_interval){   list_initial <- list()   dissimilarity.gradient <- seq(from = 0, to = max_gradient, length.out = n_row)   for (i in seq_len(n_row)){     print(i)     if (i == 1){       row_temp <- rbeta(n_col, 1, n_col)       col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)       row_temp[col_to_remove] <- 0       list_initial[[i]] <- row_temp     } else {       while (length(list_initial) < i) {         row_temp <- rbeta(n_col, 1, n_col)         col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)         row_temp[col_to_remove] <- 0         diff_temp <- abs(vegdist(rbind(list_initial[[1]], row_temp), method = \"bray\") - dissimilarity.gradient[i])         if (diff_temp < error_interval) {           list_initial[[i]] <- row_temp         }       }     }   }   dataframe_to_return <- as.data.frame(t(matrix(unlist(list_initial), ncol = n_row)))   return(dataframe_to_return) } n_species_types <- c(13, 3, 4) theta_types <- c(1, 0.75, 0.5, 0.25, 0.1, 0.05) n_resources_types <- c(1,2,4,8,16,32)  community.initial.df <- as.list(   lapply(n_species_types,           gradient_df_generator,           n_row = n_rep,           density_row = 1,          max_gradient = 0.7,          error_interval = 0.15) ) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 ## [1] 6 ## [1] 7 ## [1] 8 ## [1] 9 ## [1] 10 ## [1] 11 ## [1] 12 ## [1] 13 ## [1] 14 ## [1] 15 ## [1] 16 ## [1] 17 ## [1] 18 ## [1] 19 ## [1] 20 ## [1] 21 ## [1] 22 ## [1] 23 ## [1] 24 ## [1] 25 ## [1] 26 ## [1] 27 ## [1] 28 ## [1] 29 ## [1] 30 ## [1] 31 ## [1] 32 ## [1] 33 ## [1] 34 ## [1] 35 ## [1] 36 ## [1] 37 ## [1] 38 ## [1] 39 ## [1] 40 ## [1] 41 ## [1] 42 ## [1] 43 ## [1] 44 ## [1] 45 ## [1] 46 ## [1] 47 ## [1] 48 ## [1] 49 ## [1] 50 ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 ## [1] 6 ## [1] 7 ## [1] 8 ## [1] 9 ## [1] 10 ## [1] 11 ## [1] 12 ## [1] 13 ## [1] 14 ## [1] 15 ## [1] 16 ## [1] 17 ## [1] 18 ## [1] 19 ## [1] 20 ## [1] 21 ## [1] 22 ## [1] 23 ## [1] 24 ## [1] 25 ## [1] 26 ## [1] 27 ## [1] 28 ## [1] 29 ## [1] 30 ## [1] 31 ## [1] 32 ## [1] 33 ## [1] 34 ## [1] 35 ## [1] 36 ## [1] 37 ## [1] 38 ## [1] 39 ## [1] 40 ## [1] 41 ## [1] 42 ## [1] 43 ## [1] 44 ## [1] 45 ## [1] 46 ## [1] 47 ## [1] 48 ## [1] 49 ## [1] 50 ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 ## [1] 6 ## [1] 7 ## [1] 8 ## [1] 9 ## [1] 10 ## [1] 11 ## [1] 12 ## [1] 13 ## [1] 14 ## [1] 15 ## [1] 16 ## [1] 17 ## [1] 18 ## [1] 19 ## [1] 20 ## [1] 21 ## [1] 22 ## [1] 23 ## [1] 24 ## [1] 25 ## [1] 26 ## [1] 27 ## [1] 28 ## [1] 29 ## [1] 30 ## [1] 31 ## [1] 32 ## [1] 33 ## [1] 34 ## [1] 35 ## [1] 36 ## [1] 37 ## [1] 38 ## [1] 39 ## [1] 40 ## [1] 41 ## [1] 42 ## [1] 43 ## [1] 44 ## [1] 45 ## [1] 46 ## [1] 47 ## [1] 48 ## [1] 49 ## [1] 50 for (n_species in n_species_types){     for (theta in theta_types) {         sorensen <- c()         for (i in seq_len(n_rep)){             for (n_resources in n_resources_types) {                 ### generate E ####                 Etest <- randomE(n_species = n_species,                                  n_resources = n_resources,                                  mean_consumption = theta*n_resources,                                  exact = TRUE)                  ### calculate rho ####                 if (n_resources == max(n_resources_types)){                     Etest_pos <- Etest                     Etest_pos[Etest_pos<0] <- 0                     for (j in seq_len(n_species - 1)){                         for (k in 2:n_species){                             sorensen <- c(sorensen,                                           sum(apply(Etest_pos[c(j,k),], 2, min)))                         }                     }                 }                  if (n_resources > 1){                     Priority <- t(apply(matrix(sample(n_species * n_resources), nrow = n_species), 1, order))                     Priority <- (Etest > 0) * Priority                 } else {                     Priority <- NULL                 }                  print(paste0(\"n_species=\",n_species, \" theta=\",theta, \" i=\", i, \" n_resources=\", n_resources))                 x0temp <- as.numeric(community.initial.df[[match(n_species, n_species_types)]][i,])                 x0temp <- 10*x0temp/sum(x0temp)                 CRMtest <- simulateConsumerResource(n_species = n_species,                                                     n_resources = n_resources,                                                     x0 = x0temp, #rep(10, n_species),                                                     resources = rep(100, n_resources),                                                     E = Etest,                                                     # trophic_priority = Priority,                                                     stochastic = TRUE,                                                     t_end = 1000,                                                     t_step = 1,                                                     t_store = 1000)                 CRMspecies <- getCommunity(CRMtest)                 CRMspeciesTotal <- sum(CRMspecies)                 result_df[nrow(result_df)+1,] <- c(n_species, theta, i, n_resources, CRMspeciesTotal)                 result_df2[nrow(result_df2)+1,] <- c(CRMspecies, rep(NA, 13-length(CRMspecies)))                 # makePlotRes(CRMtest$resources)                 # makePlot(CRMtest$matrix)             }         }         rho_mean <- mean(sorensen)         rho_sd <- var(sorensen)         sorensen_df[nrow(sorensen_df)+1, ] <- c(n_species, theta, rho_mean, rho_sd)     } } p_fig2_result_df <- ggplot(result_df, aes(x = n_resources, y = value, group = n_resources)) +     geom_boxplot(outlier.shape = NA) +     geom_jitter(alpha = 0.2, width = 0.2) +     facet_grid(. ~ factor(n_species, levels = n_species_types)) +     theme_bw() +     scale_x_continuous(trans = \"log2\", breaks = n_resources_types) +     xlab(\"number of resources\") +     ylab(\"growth yield (number of individuals)\") p_fig2_result_df"},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Yagmur Simsek. Maintainer, author. Karoline Faust. Author. Yu Gao. Author. Emma Gheysen. Author. Daniel Rios Garza. Author. Tuomas Borman. Author. Leo Lahti. Author.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"(C) Yu Gao et al. miaSim: R/Bioconductor package easily simulate microbial community dynamics. Methods Ecology Evolution (2023). Version 1.7.8 Package URL: microbiome.github.io/miaSim","code":"@Article{,   title = {miaSim: an R/Bioconductor package to easily simulate microbial community dynamics},   journal = {Methods in Ecology and Evolution},   year = {2023},   doi = {10.1111/2041-210X.14129},   author = {Yu Gao and Yağmur Şimşek and Emma Gheysen and Tuomas Borman and Yi Li and Leo Lahti and Karoline Faust and Daniel Garza},   url = {microbiome.github.io/miaSim},   note = {Version 1.7.8}, }"},{"path":[]},{"path":"/index.html","id":"miasim","dir":"","previous_headings":"","what":"miaSim","title":"Microbiome Data Simulation","text":"miaSim R/Bioconductor package can used simulate (longitudinal) data benchmarking analysis quantitative models microbial communities. installation use, see Getting started page. package based (Tree)SummarizedExperiment data container supports microbiome data analysis. package homepage provides tutorials references implemented models: Self-organised instability (SOI) Hubbell’s neutral model generalized Lotka-Volterra (gLV) Ricker model (discrete gLV) Stochastic logistic model Consumer-resource model","code":""},{"path":"/index.html","id":"miasimshiny","dir":"","previous_headings":"miaSim","what":"miaSimShiny","title":"Microbiome Data Simulation","text":"accompanying miaSimShiny package allows users explore parameter space models real-time intuitive graphical interface. can experiment miaSimShiny online.","code":""},{"path":"/index.html","id":"contributions-and-acknowledgments","dir":"","previous_headings":"miaSim","what":"Contributions and acknowledgments","title":"Microbiome Data Simulation","text":"can find us online Gitter. Contributions welcome issues pull requests development site. follow git flow kind approach. Development version done main branch merged release release. (https://guides.github.com/introduction/flow/) grateful contributors.","code":""},{"path":"/index.html","id":"citing-the-package","dir":"","previous_headings":"miaSim","what":"Citing the package","title":"Microbiome Data Simulation","text":"Kindly cite work follows: Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 citation details, see R command citation(\"miaSim\").","code":""},{"path":"/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of conduct","title":"Microbiome Data Simulation","text":"Please note project released Bioconductor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"/reference/dot-applyInterType.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate pairs of interactions according to interaction types — .applyInterType","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"helper function used combination .getInteractions()","code":""},{"path":"/reference/dot-applyInterType.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"","code":".applyInterType(I, pair, interType)"},{"path":"/reference/dot-applyInterType.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"Matrix: defining interaction pair species pair Numeric: vector length 2, indicating 2 focusing species process applying interaction types interType Character: one 'mutualism', 'commensalism', 'parasitism', 'amensalism', 'competition'. Defining interaction type","code":""},{"path":"/reference/dot-applyInterType.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"matrix interaction types one pair changed","code":""},{"path":"/reference/dot-estimateAFromSimulations.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"generate matrix comparisons simulations one absent species simulation complete species (leave-one-)","code":""},{"path":"/reference/dot-estimateAFromSimulations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"","code":".estimateAFromSimulations(   simulations,   simulations2,   n_instances = 1,   t_end = NULL,   scale_off_diagonal = 0.1,   diagonal = -0.5,   connectance = 0.2 )"},{"path":"/reference/dot-estimateAFromSimulations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"simulations list simulation(s) complete species simulations2 list simulation(s), one absent species n_instances Integer: number instances generate (default: n_instances = 1) t_end Numeric: end time simulation. identical t_end params_list, overwrite t_end simulation (default: t_end = 1000) scale_off_diagonal Numeric: scale -diagonal elements compared diagonal. parameter function randomA. (default: scale_off_diagonal = 0.1) diagonal Values defining strength self-interactions. Input can number (applied species) vector length n_species. Positive self-interaction values lead exponential growth. parameter function randomA. (default: diagonal = -0.5) connectance Numeric frequency inter-species interactions. .e. proportion non-zero -diagonal terms. interval 0 <= connectance <= 1. parameter function randomA. (default: connectance = 0.2)","code":""},{"path":"/reference/dot-estimateAFromSimulations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"matrix dimensions (n_species x n_species) n_species equals number elements simulations2","code":""},{"path":"/reference/dot-eventTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"generate a vector of times when events is happening — .eventTimes","title":"generate a vector of times when events is happening — .eventTimes","text":"generate vector times events happening","code":""},{"path":"/reference/dot-eventTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generate a vector of times when events is happening — .eventTimes","text":"","code":".eventTimes(t_events = NULL, t_duration = NULL, t_end = 1000, ...)"},{"path":"/reference/dot-eventTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generate a vector of times when events is happening — .eventTimes","text":"t_events, t_duration Numeric: vector starting time duration events t_end Numeric: end time simulation ... : additional parameters pass simulationTimes, including t_start, t_step, t_store.","code":""},{"path":"/reference/dot-eventTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generate a vector of times when events is happening — .eventTimes","text":"vector time points simulation","code":""},{"path":"/reference/dot-eventTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generate a vector of times when events is happening — .eventTimes","text":"","code":"tEvent <- .eventTimes(     t_events = c(10, 50, 100),     t_duration = c(1, 2, 3),     t_end = 100,     t_store = 100,     t_step = 1 )"},{"path":"/reference/dot-getInteractions.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate interactions according to five types of interactions and their weights — .getInteractions","title":"Generate interactions according to five types of interactions and their weights — .getInteractions","text":"Generate interactions according five types interactions weights","code":""},{"path":"/reference/dot-getInteractions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate interactions according to five types of interactions and their weights — .getInteractions","text":"","code":".getInteractions(n_species, weights, connectance)"},{"path":"/reference/dot-getInteractions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate interactions according to five types of interactions and their weights — .getInteractions","text":"n_species Integer: defining dimension matrix interaction weights Numeric: defining weights mutualism, commensalism, parasitism, amensalism, competition interspecies interactions. connectance Numeric: defining density interaction network. Ranging 0 1","code":""},{"path":"/reference/dot-getInteractions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate interactions according to five types of interactions and their weights — .getInteractions","text":"matrix interactions interactions changed according weights connectance.","code":""},{"path":"/reference/dot-isPosInt.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether a number is a positive integer — .isPosInt","title":"Check whether a number is a positive integer — .isPosInt","text":"Check whether number positive integer","code":""},{"path":"/reference/dot-isPosInt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether a number is a positive integer — .isPosInt","text":"","code":".isPosInt(x, tol = .Machine$double.eps^0.5)"},{"path":"/reference/dot-isPosInt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether a number is a positive integer — .isPosInt","text":"x Numeric number test tol Numeric tolerance detection","code":""},{"path":"/reference/dot-isPosInt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether a number is a positive integer — .isPosInt","text":"logical value: whether number positive integer.","code":""},{"path":"/reference/dot-rdirichlet.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate dirichlet random deviates — .rdirichlet","title":"Generate dirichlet random deviates — .rdirichlet","text":"Generate dirichlet random deviates","code":""},{"path":"/reference/dot-rdirichlet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate dirichlet random deviates — .rdirichlet","text":"","code":".rdirichlet(n, alpha)"},{"path":"/reference/dot-rdirichlet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate dirichlet random deviates — .rdirichlet","text":"n Number random vectors generate. alpha Vector containing shape parameters.","code":""},{"path":"/reference/dot-rdirichlet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate dirichlet random deviates — .rdirichlet","text":"vector containing Dirichlet density","code":""},{"path":"/reference/dot-rdirichlet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate dirichlet random deviates — .rdirichlet","text":"","code":"dirichletExample <- .rdirichlet(1, c(1, 2, 3))"},{"path":"/reference/dot-replaceByZero.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace one element with zero in a list — .replaceByZero","title":"Replace one element with zero in a list — .replaceByZero","text":"list contains m elements, lengths element must m, . function intended generate list x0 (initial community) one missing species, prepare parameter simulations_compare estimateAFromSimulations.","code":""},{"path":"/reference/dot-replaceByZero.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace one element with zero in a list — .replaceByZero","text":"","code":".replaceByZero(input_list)"},{"path":"/reference/dot-replaceByZero.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace one element with zero in a list — .replaceByZero","text":"input_list list containing m elements, lengths element must m, .","code":""},{"path":"/reference/dot-replaceByZero.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace one element with zero in a list — .replaceByZero","text":"list dimension input_list, 0 specific positions elements list.","code":""},{"path":"/reference/dot-simulationTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes","title":"Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes","text":"Generate simulation times indices time points return simulation functions.","code":""},{"path":"/reference/dot-simulationTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes","text":"","code":".simulationTimes(t_start = 0, t_end = 1000, t_step = 0.1, t_store = 1000)"},{"path":"/reference/dot-simulationTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes","text":"t_start Numeric scalar indicating initial time simulation. (default: t_start = 0) t_end Numeric scalar indicating final time simulation (default: t_end = 1000) t_step Numeric scalar indicating interval simulation steps (default: t_step = 0.1) t_store Integer scalar indicating number evenly distributed time points keep (default: t_store = 100)","code":""},{"path":"/reference/dot-simulationTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes","text":"lists containing simulation times (t_sys) indices keep.","code":""},{"path":"/reference/dot-simulationTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate simulation times and the indices of time points to return in simulation functions. — .simulationTimes","text":"","code":"Time <- .simulationTimes(     t_start = 0, t_end = 100, t_step = 0.5,     t_store = 100 ) DefaultTime <- .simulationTimes(t_end = 1000)"},{"path":"/reference/generateSimulations.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate multiple simulations and store them in a list — generateSimulations","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"function useful generating simulations different parameters simulating multiple instances evaluate stochasticity therein.","code":""},{"path":"/reference/generateSimulations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"","code":"generateSimulations(   model,   params_list,   param_iter = NULL,   n_instances = 1,   t_end = 1000 )"},{"path":"/reference/generateSimulations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"model Character: name model use, must one \"simulateConsumerResource\", \"simulateGLV\", \"simulateHubbellRates\", \"simulateStochasticLogistic\" params_list List: list containing parameters used aforementionned called model param_iter List parameters overwrite different simulations. NULL, simulate different instances using set parameters. (default: param_iter = NULL) n_instances Integer: number instances generate (default: n_instances = 1) t_end Numeric: end time simulation. identical t_end params_list, overwrite t_end simulation (default: t_end = 1000)","code":""},{"path":"/reference/generateSimulations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"list containing multiple simulating results","code":""},{"path":"/reference/generateSimulations.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"","code":"params <- list(     n_species = 10,     n_resources = 5,     E = randomE(         n_species = 10, n_resources = 5,         mean_consumption = 1, mean_production = 3     ),     x0 = rep(0.001, 10),     resources = rep(1000, 5),     monod_constant = matrix(rbeta(10 * 5, 10, 10), nrow = 10, ncol = 5),     inflow_rate = .5,     outflow_rate = .5,     migration_p = 0,     stochastic = TRUE,     t_start = 0,     t_end = 20,     t_store = 100,     growth_rates = runif(10),     norm = FALSE )  # Recommended standard way to generate a set of n simulations (n=2 here) from a given model # simulations <- lapply(seq_len(2), function (i) {do.call(simulateConsumerResource, params)})"},{"path":"/reference/powerlawA.html","id":null,"dir":"Reference","previous_headings":"","what":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"N Interspecific Interaction matrix values drawn normal distribution H interaction strength heterogeneity drawn power-law distribution parameter alpha, G adjacency matrix -degree reflects heterogeneity powerlaw. scaling factor s may used constrain values interaction matrix within desired range. Diagonal elements defined parameter d.","code":""},{"path":"/reference/powerlawA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"","code":"powerlawA(n_species, alpha = 3, stdev = 1, s = 0.1, d = -1, symmetric = FALSE)"},{"path":"/reference/powerlawA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"n_species integer number species alpha numeric power-law distribution parameter. > 1. (default: alpha = 3.0) Larger values give lower interaction strength heterogeneity, whereas values closer 1 give strong heterogeneity interaction strengths species. words, values alpha close 1 give Strongly Interacting Species (SIS). stdev numeric standard deviation parameter normal distribution mean 0 elements nominal interspecific interaction matrix N drawn. (default: stdev = 1) s numeric scaling parameter final global interaction matrix multiplied. (default: s = 0.1) d numeric diagonal values, indicating self-interactions (use negative values stability). (default: s = 1.0) symmetric logical scalar returning symmetric interaction matrix (default: symmetric=FALSE)","code":""},{"path":"/reference/powerlawA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"interaction matrix dimensions (n_species x n_species)","code":""},{"path":"/reference/powerlawA.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"Gibson TE, Bashan , Cao HT, Weiss ST, Liu YY (2016) Origins Control Community Types Human Microbiome. PLOS Computational Biology 12(2): e1004688. https://doi.org/10.1371/journal.pcbi.1004688","code":""},{"path":"/reference/powerlawA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"","code":"# Low interaction heterogeneity A_low <- powerlawA(n_species = 10, alpha = 3) # Strong interaction heterogeneity A_strong <- powerlawA(n_species = 10, alpha = 1.01)"},{"path":"/reference/randomA.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate random interaction matrix for GLV model — randomA","title":"Generate random interaction matrix for GLV model — randomA","text":"Generates random interaction matrix Generalized Lotka-Volterra (GLV) model.","code":""},{"path":"/reference/randomA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate random interaction matrix for GLV model — randomA","text":"","code":"randomA(   n_species,   names_species = NULL,   diagonal = -0.5,   connectance = 0.2,   scale_off_diagonal = 0.1,   mutualism = 1,   commensalism = 1,   parasitism = 1,   amensalism = 1,   competition = 1,   interactions = NULL,   symmetric = FALSE,   list_A = NULL )"},{"path":"/reference/randomA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate random interaction matrix for GLV model — randomA","text":"n_species Integer: number species names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) diagonal Values defining strength self-interactions. Input can number (applied species) vector length n_species. Positive self-interaction values lead exponential growth. (default: diagonal = -0.5) connectance Numeric frequency inter-species interactions. .e. proportion non-zero -diagonal terms. interval 0 <= connectance <= 1. (default: connectance = 0.2) scale_off_diagonal Numeric: scale -diagonal elements compared diagonal. (default: scale_off_diagonal = 0.1) mutualism Numeric: relative proportion interactions terms consistent mutualism (positive <-> positive) (default: mutualism = 1) commensalism Numeric: relative proportion interactions terms consistent commensalism (positive <-> neutral) (default: commensalism = 1) parasitism Numeric: relative proportion interactions terms consistent parasitism (positive <-> negative) (default: parasitism = 1) amensalism Numeric: relative proportion interactions terms consistent amensalism (neutral <-> negative) (default: amensalism = 1) competition Numeric: relative proportion interactions terms consistent competition (negative <-> negative) (default: competition = 1) interactions Numeric: values n_species^2 pairwise interaction strengths. Diagonal terms replaced 'diagonal' parameter NULL, interactions drawn runif(n_species^2, min=0, max=abs(diagonal)). Negative values first converted positive signs defined relative weights biological interactions (.e. mutualism, commensalism, parasitism, amensalism, competition) (default: interactions = NULL) symmetric Logical: whether strength mutualistic competitive interactions symmetric. implemented overwrite half matrix, proportions interactions might deviate expectations. (default: symmetric=FALSE) list_A List: list matrices generated randomA. Used support different groups interactions. NULL (default), group considered. Otherwise given list matrices overwrite values around diagonal. (default: list_A = NULL)","code":""},{"path":"/reference/randomA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate random interaction matrix for GLV model — randomA","text":"randomA returns matrix dimensions (n_species x n_species)","code":""},{"path":"/reference/randomA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate random interaction matrix for GLV model — randomA","text":"","code":"dense_A <- randomA(     n_species = 10,     scale_off_diagonal = 1,     diagonal = -1.0,     connectance = 0.9 )  sparse_A <- randomA(     n_species = 10,     diagonal = -1.0,     connectance = 0.09 )  user_interactions <- rbeta(n = 10^2, .5, .5) user_A <- randomA(n_species = 10, interactions = user_interactions)  competitive_A <- randomA(     n_species = 10,     mutualism = 0,     commensalism = 0,     parasitism = 0,     amensalism = 0,     competition = 1,     connectance = 1,     scale_off_diagonal = 1 )  parasitism_A <- randomA(     n_species = 10,     mutualism = 0,     commensalism = 0,     parasitism = 1,     amensalism = 0,     competition = 0,     connectance = 1,     scale_off_diagonal = 1,     symmetric = TRUE )  list_A <- list(dense_A, sparse_A, competitive_A, parasitism_A) groupA <- randomA(n_species = 40, list_A = list_A)"},{"path":"/reference/randomE.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate random efficiency matrix — randomE","title":"Generate random efficiency matrix — randomE","text":"Generate random efficiency matrix consumer resource model Dirichlet distribution, positive efficiencies indicate consumption resources, whilst negatives indicate species produce resource.","code":""},{"path":"/reference/randomE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate random efficiency matrix — randomE","text":"","code":"randomE(   n_species,   n_resources,   names_species = NULL,   names_resources = NULL,   mean_consumption = n_resources/4,   mean_production = n_resources/6,   maintenance = 0.5,   trophic_levels = NULL,   trophic_preferences = NULL,   exact = FALSE )"},{"path":"/reference/randomE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate random efficiency matrix — randomE","text":"n_species Integer: number species n_resources Integer: number resources names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) names_resources Character: names resources. NULL, paste0(\"res\", seq_len(n_resources)) used. mean_consumption Numeric: mean number resources consumed species drawn poisson distribution (default: mean_consumption = n_resources/4) mean_production Numeric: mean number resources produced species drawn poisson distribution (default: mean_production = n_resources/6) maintenance Numeric: proportion resources converted products 0~1 proportion resources used maintain living microorganisms. 0 means resources used reproduction microorganisms, 1 means resources used maintain living organisms resources left growth(reproduction). (default: maintenance = 0.5) trophic_levels Integer: number species microbial trophic levels. NULL, default, microbial trophic levels considered. (default: trophic_levels = NULL) trophic_preferences List: preferred resources productions trophic level. Positive values indicate consumption resources, whilst negatives indicate species produce resource. exact Logical: whether set number consumption/production exact mean_consumption/mean_production set using Poisson distribution. (default: exact = FALSE) length(trophic_preferences) smaller length(trophic_levels), NULL values appended lower trophic levels. NULL, default, consumption preference defined randomly. (default: trophic_preferences = NULL)","code":""},{"path":"/reference/randomE.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate random efficiency matrix — randomE","text":"randomE returns matrix E dimensions (n_species x n_resources), row represents species.","code":""},{"path":"/reference/randomE.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate random efficiency matrix — randomE","text":"","code":"# example with minimum parameters ExampleEfficiencyMatrix <- randomE(n_species = 5, n_resources = 12)  # examples with specific parameters ExampleEfficiencyMatrix <- randomE(     n_species = 3, n_resources = 6,     names_species = letters[1:3],     names_resources = paste0(\"res\", LETTERS[1:6]),     mean_consumption = 3, mean_production = 1 ) ExampleEfficiencyMatrix <- randomE(     n_species = 3, n_resources = 6,     maintenance = 0.4 ) ExampleEfficiencyMatrix <- randomE(     n_species = 3, n_resources = 6,     mean_consumption = 3, mean_production = 1, maintenance = 0.4 )  # examples with microbial trophic levels ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1),     trophic_preferences = list(         c(rep(1, 5), rep(-1, 5), rep(0, 5)),         c(rep(0, 5), rep(1, 5), rep(-1, 5)),         c(rep(0, 10), rep(1, 5))     ) ) ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1),     trophic_preferences = list(c(rep(1, 5), rep(-1, 5), rep(0, 5)), NULL, NULL) ) ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1) )"},{"path":"/reference/rdirichlet.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate dirichlet random deviates — rdirichlet","title":"Generate dirichlet random deviates — rdirichlet","text":"Generate dirichlet random deviates","code":""},{"path":"/reference/rdirichlet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate dirichlet random deviates — rdirichlet","text":"","code":"rdirichlet(n, alpha)"},{"path":"/reference/rdirichlet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate dirichlet random deviates — rdirichlet","text":"n Number random vectors generate. alpha Vector containing shape parameters.","code":""},{"path":"/reference/rdirichlet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate dirichlet random deviates — rdirichlet","text":"vector containing Dirichlet density","code":""},{"path":"/reference/rdirichlet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate dirichlet random deviates — rdirichlet","text":"","code":"dirichletExample <- rdirichlet(1, c(1, 2, 3))"},{"path":"/reference/simulateConsumerResource.html","id":null,"dir":"Reference","previous_headings":"","what":"Consumer-resource model simulation — simulateConsumerResource","title":"Consumer-resource model simulation — simulateConsumerResource","text":"Simulates time series consumer-resource model.","code":""},{"path":"/reference/simulateConsumerResource.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Consumer-resource model simulation — simulateConsumerResource","text":"","code":"simulateConsumerResource(   n_species,   n_resources,   names_species = NULL,   names_resources = NULL,   E = NULL,   x0 = NULL,   resources = NULL,   resources_dilution = NULL,   growth_rates = NULL,   monod_constant = NULL,   sigma_drift = 0.001,   sigma_epoch = 0.1,   sigma_external = 0.3,   sigma_migration = 0.01,   epoch_p = 0.001,   t_external_events = NULL,   t_external_durations = NULL,   stochastic = FALSE,   migration_p = 0.01,   metacommunity_probability = NULL,   error_variance = 0,   norm = FALSE,   t_end = 1000,   trophic_priority = NULL,   inflow_rate = 0,   outflow_rate = 0,   volume = 1000,   ... )"},{"path":"/reference/simulateConsumerResource.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Consumer-resource model simulation — simulateConsumerResource","text":"n_species Integer: number species n_resources Integer: number resources names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) names_resources Character: names resources. NULL, paste0(\"res\", seq_len(n_resources)) used. E matrix: matrix efficiency. matrix defining efficiency resource--biomass conversion (positive values) relative conversion metabolic -products (negative values). NULL, randomE(n_species, n_resources) used. (default: E = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0.1, max = 10) used. (default: x0 = NULL) resources Numeric: initial concentrations resources. NULL, runif(n = n_resources, min = 1, max = 100) used. (default: resources = NULL) resources_dilution Numeric: concentrations resources continuous inflow (applicable inflow_rate > 0). NULL, resources used. (default: resources_dilution = NULL) growth_rates Numeric: vector maximum growth rates(mu) species. NULL, rep(1, n_species) used. (default: growth_rates = NULL) monod_constant matrix: constant additive monod growth n_species consuming n_resources. NULL, matrix(rgamma(n = n_species*n_resources, shape = 50*max(resources), rate = 1), nrow = n_species) used. (default: monod_constant = NULL) sigma_drift Numeric: standard deviation normally distributed noise applied time step (t_step) (default: sigma_drift = 0.001) sigma_epoch Numeric: standard deviation normally distributed noise applied random periods community composition frequency defined epoch_p parameter (default: sigma_epoch = 0.1) sigma_external Numeric: standard deviation normally distributed noise applied user-defined external events/disturbances (default: sigma_external = 0.3) sigma_migration Numeric: standard deviation normally distributed variable defines intensity migration time step (t_step) (default: sigma_migration = 0.01) epoch_p Numeric: probability/frequency random periodic changes introduced community composition (default: epoch_p = 0.001) t_external_events Numeric: starting time points defined external events introduce random changes community composition (default: t_external_events = NULL) t_external_durations Numeric: respective duration external events defined 't_external_events' (times) sigma_external (std). (default: t_external_durations = NULL) stochastic Logical: whether introduce noise simulation. False, sigma_drift, sigma_epoch, sigma_external ignored. (default: stochastic = FALSE) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) trophic_priority Matrix: matrix defining orders resources consumed species. NULL, default, feature turned , species consume resources simultaneously grow. dimension identical matrix E. (default: trophic_priority = NULL) inflow_rate, outflow_rate Numeric: inflow outflow rate culture process. default, inflow_rate outflow_rate 0, indicating batch culture process. setting equally larger 0, can simulate continuous culture(e.g. chemostat). volume Numeric: volume continuous cultivation. parameter important simulations inflow_rate outflow_rate 0. (default: volume = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateConsumerResource.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Consumer-resource model simulation — simulateConsumerResource","text":"TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateConsumerResource.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Consumer-resource model simulation — simulateConsumerResource","text":"","code":"n_species <- 2 n_resources <- 4 tse <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources )  if (FALSE) { # example with user-defined values (names_species, names_resources, E, x0, # resources, growth_rates, error_variance, t_end, t_step)  ExampleE <- randomE(     n_species = n_species, n_resources = n_resources,     mean_consumption = 3, mean_production = 1, maintenance = 0.4 ) ExampleResources <- rep(100, n_resources) tse1 <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources, names_species = letters[seq_len(n_species)],     names_resources = paste0(\"res\", LETTERS[seq_len(n_resources)]), E = ExampleE,     x0 = rep(0.001, n_species), resources = ExampleResources,     growth_rates = runif(n_species),     error_variance = 0.01,     t_end = 5000,     t_step = 1 )  # example with trophic levels n_species <- 10 n_resources <- 15 ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1),     trophic_preferences = list(         c(rep(1, 5), rep(-1, 5), rep(0, 5)),         c(rep(0, 5), rep(1, 5), rep(-1, 5)),         c(rep(0, 10), rep(1, 5))     ) )  ExampleResources <- c(rep(500, 5), rep(200, 5), rep(50, 5)) tse2 <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     names_species = letters[1:n_species],     names_resources = paste0(         \"res\", LETTERS[1:n_resources]     ),     E = ExampleEfficiencyMatrix,     x0 = rep(0.001, n_species),     resources = ExampleResources,     growth_rates = rep(1, n_species),     # error_variance = 0.001,     t_end = 5000, t_step = 1 )  # example with trophic priority n_species <- 4 n_resources <- 6 ExampleE <- randomE(     n_species = n_species,     n_resources = n_resources,     mean_consumption = n_resources,     mean_production = 0 ) ExampleTrophicPriority <- t(apply(     matrix(sample(n_species * n_resources),         nrow = n_species     ),     1, order )) # make sure that for non-consumables resources for each species, # the priority is 0 (smaller than any given priority) ExampleTrophicPriority <- (ExampleE > 0) * ExampleTrophicPriority tse3 <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     E = ExampleE,     trophic_priority = ExampleTrophicPriority,     t_end = 2000 ) }"},{"path":"/reference/simulateEventTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a vector of event times — simulateEventTimes","title":"Generate a vector of event times — simulateEventTimes","text":"Generate vector event times","code":""},{"path":"/reference/simulateEventTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a vector of event times — simulateEventTimes","text":"","code":"simulateEventTimes(t_events = NULL, t_duration = NULL, t_end = 1000, ...)"},{"path":"/reference/simulateEventTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a vector of event times — simulateEventTimes","text":"t_events Numeric vector; starting time events t_duration Numeric vector; duration events t_end Numeric: end time simulation ... : additional parameters pass simulationTimes, including t_start, t_step, t_store.","code":""},{"path":"/reference/simulateEventTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate a vector of event times — simulateEventTimes","text":"vector time points simulation","code":""},{"path":"/reference/simulateEventTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a vector of event times — simulateEventTimes","text":"","code":"tEvent <- simulateEventTimes(     t_events = c(10, 50, 100),     t_duration = c(1, 2, 3),     t_end = 100,     t_store = 100,     t_step = 1 )"},{"path":"/reference/simulateGLV.html","id":null,"dir":"Reference","previous_headings":"","what":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"Simulates time series generalized Lotka-Volterra model.","code":""},{"path":"/reference/simulateGLV.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"","code":"simulateGLV(   n_species,   names_species = NULL,   A = NULL,   x0 = NULL,   growth_rates = NULL,   sigma_drift = 0.001,   sigma_epoch = 0.1,   sigma_external = 0.3,   sigma_migration = 0.01,   epoch_p = 0.001,   t_external_events = NULL,   t_external_durations = NULL,   stochastic = TRUE,   migration_p = 0.01,   metacommunity_probability = NULL,   error_variance = 0,   norm = FALSE,   t_end = 1000,   ... )"},{"path":"/reference/simulateGLV.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"n_species Integer: number species names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) matrix: interaction matrix defining positive negative interactions n_species. NULL, randomA(n_species) used. (default: = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0, max = 1) used. (default: x0 = NULL) growth_rates Numeric: growth rates simulated species. NULL, runif(n = n_species, min = 0, max = 1) used. (default: growth_rates = NULL) sigma_drift Numeric: standard deviation normally distributed noise applied time step (t_step) (default: sigma_drift = 0.001) sigma_epoch Numeric: standard deviation normally distributed noise applied random periods community composition frequency defined epoch_p parameter (default: sigma_epoch = 0.1) sigma_external Numeric: standard deviation normally distributed noise applied user-defined external events/disturbances (default: sigma_external = 0.3) sigma_migration Numeric: standard deviation normally distributed variable defines intensity migration time step (t_step) (default: sigma_migration = 0.01) epoch_p Numeric: probability/frequency random periodic changes introduced community composition (default: epoch_p = 0.001) t_external_events Numeric: starting time points defined external events introduce random changes community composition (default: t_external_events = NULL) t_external_durations Numeric: respective duration external events defined 't_external_events' (times) sigma_external (std). (default: t_external_durations = NULL) stochastic Logical: whether introduce noise simulation. False, sigma_drift, sigma_epoch, sigma_external ignored. (default: stochastic = FALSE) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateGLV.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"simulateGLV returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateGLV.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"Simulates community time series using generalized Lotka-Volterra model, defined dx/dt = x(b+Ax), x vector species abundances, diag(x) diagonal matrix diagonal values set x. interaction matrix b vector growth rates.","code":""},{"path":"/reference/simulateGLV.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"","code":"# generate a random interaction matrix ExampleA <- randomA(n_species = 4, diagonal = -1)  # run the model with default values (only stochastic migration considered) tse <- simulateGLV(n_species = 4, A = ExampleA)  # run the model with two external disturbances at time points 240 and 480 # with durations equal to 1 (10 time steps when t_step by default is 0.1). ExampleGLV <- simulateGLV(     n_species = 4, A = ExampleA,     t_external_events = c(0, 240, 480), t_external_durations = c(0, 1, 1) )  # run the model with no perturbation nor migration set.seed(42) tse1 <- simulateGLV(     n_species = 4, A = ExampleA, stochastic = FALSE,     sigma_migration = 0 )  # run the model with no perturbation nor migration but with measurement error set.seed(42) tse2 <- simulateGLV(     n_species = 4, A = ExampleA, stochastic = FALSE,     error_variance = 0.001, sigma_migration = 0 )"},{"path":"/reference/simulateHubbell.html","id":null,"dir":"Reference","previous_headings":"","what":"Hubbell's neutral model simulation — simulateHubbell","title":"Hubbell's neutral model simulation — simulateHubbell","text":"Neutral species abundances simulation according Hubbell model.","code":""},{"path":"/reference/simulateHubbell.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hubbell's neutral model simulation — simulateHubbell","text":"","code":"simulateHubbell(   n_species,   M,   carrying_capacity = 1000,   k_events = 10,   migration_p = 0.02,   t_skip = 0,   t_end,   norm = FALSE )"},{"path":"/reference/simulateHubbell.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hubbell's neutral model simulation — simulateHubbell","text":"n_species integer amount different species initially local community M integer amount different species metacommunity, including local community carrying_capacity integer value fixed amount individuals local community (default: carrying_capacity = 1000) k_events integer value fixed amount deaths local community individuals generation (default: k_events = 10) migration_p numeric immigration rate: probability death local community replaced migrant metacommunity rather birth local community member (default: migration_p = 0.02) t_skip integer number generations included outputted species abundance matrix. (default: t_skip = 0) t_end integer number simulations simulated norm logical scalar choosing whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE)","code":""},{"path":"/reference/simulateHubbell.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hubbell's neutral model simulation — simulateHubbell","text":"simulateHubbell returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateHubbell.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hubbell's neutral model simulation — simulateHubbell","text":"Rosindell, James et al. \"unified neutral theory biodiversity biogeography age ten.\" Trends ecology & evolution vol. 26,7 (2011).","code":""},{"path":"/reference/simulateHubbell.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hubbell's neutral model simulation — simulateHubbell","text":"","code":"tse <- simulateHubbell(     n_species = 8, M = 10, carrying_capacity = 1000, k_events = 50,     migration_p = 0.02, t_end = 100 )"},{"path":"/reference/simulateHubbellRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"Neutral species abundances simulation according Hubbell model. model shows losses society can replaced either birth individuals immigration depending probabilities. specific time events birth migration calculated time effect considered determine next event.","code":""},{"path":"/reference/simulateHubbellRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"","code":"simulateHubbellRates(   n_species = NULL,   x0 = NULL,   names_species = NULL,   migration_p = 0.01,   metacommunity_probability = NULL,   k_events = 1,   growth_rates = NULL,   error_variance = 0,   norm = FALSE,   t_end = 1000,   ... )"},{"path":"/reference/simulateHubbellRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"n_species Integer: number species x0 Numeric: initial species composition. NULL, rep(100, n_species) used. names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) k_events Integer: number events simulate updating sampling distributions. (default: k_events = 1) growth_rates Numeric: maximum growth rates(mu) species. NULL, rep(1, n_species) used. (default: growth_rates = NULL) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateHubbellRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"simulateHubbellRates returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateHubbellRates.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"Rosindell, James et al. \"unified neutral theory biodiversity biogeography age ten.\" Trends ecology & evolution vol. 26,7 (2011).","code":""},{"path":"/reference/simulateHubbellRates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"","code":"set.seed(42) tse <- simulateHubbellRates(n_species = 5)  miaViz::plotSeries(tse, x = \"time\") #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf   # no migration, all stochastic birth and death set.seed(42) tse1 <- simulateHubbellRates(n_species = 5, migration_p = 0)  # all migration, no stochastic birth and death set.seed(42) tse2 <- simulateHubbellRates(     n_species = 5,     migration_p = 1,     metacommunity_probability = c(0.1, 0.15, 0.2, 0.25, 0.3),     t_end = 20,     t_store = 200 )  # all migration, no stochastic birth and death, but with measurement errors set.seed(42) tse3 <- simulateHubbellRates(     n_species = 5,     migration_p = 1,     metacommunity_probability = c(0.1, 0.15, 0.2, 0.25, 0.3),     t_end = 20,     t_store = 200,     error_variance = 100 )  # model with specified inputs set.seed(42) tse4 <- simulateHubbellRates(     n_species = 5,     migration_p = 0.1,     metacommunity_probability = c(0.1, 0.15, 0.2, 0.25, 0.3),     t_end = 200,     t_store = 1000,     k_events = 5,     growth_rates = c(1.1, 1.05, 1, 0.95, 0.9) )"},{"path":"/reference/simulateRicker.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate time series with the Ricker model — simulateRicker","title":"Generate time series with the Ricker model — simulateRicker","text":"Ricker model discrete version generalized Lotka-Volterra model implemented proposed Fisher Mehta PLoS ONE 2014.","code":""},{"path":"/reference/simulateRicker.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate time series with the Ricker model — simulateRicker","text":"","code":"simulateRicker(   n_species,   A,   names_species = NULL,   x0 = runif(n_species),   carrying_capacities = runif(n_species),   error_variance = 0.05,   explosion_bound = 10^8,   t_end = 1000,   norm = FALSE,   ... )"},{"path":"/reference/simulateRicker.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate time series with the Ricker model — simulateRicker","text":"n_species Integer: number species interaction matrix names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0, max = 1) used. carrying_capacities numeric carrying capacities. NULL, runif(n = n_species, min = 0, max = 1) used. error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0.05) explosion_bound numeric value boundary explosion (default: explosion_bound = 10^8) t_end integer number simulations simulated norm logical scalar returning normalised abundances (proportions generation) (default: norm = FALSE) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateRicker.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate time series with the Ricker model — simulateRicker","text":"simulateRicker returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateRicker.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Generate time series with the Ricker model — simulateRicker","text":"Fisher & Mehta (2014). Identifying Keystone Species Human Gut Microbiome Metagenomic Timeseries using Sparse Linear Regression. PLoS One 9:e102451","code":""},{"path":"/reference/simulateRicker.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate time series with the Ricker model — simulateRicker","text":"","code":"A <- powerlawA(10, alpha = 1.01) tse <- simulateRicker(n_species = 10, A, t_end = 100)"},{"path":"/reference/simulateSOI.html","id":null,"dir":"Reference","previous_headings":"","what":"Self-Organised Instability model (SOI) simulation — simulateSOI","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"Generate time-series Self-Organised Instability (SOI) model. Implements K-leap method accelerating stochastic simulation.","code":""},{"path":"/reference/simulateSOI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"","code":"simulateSOI(   n_species,   x0 = NULL,   names_species = NULL,   carrying_capacity = 1000,   A = NULL,   k_events = 5,   t_end = 1000,   metacommunity_probability = runif(n_species, min = 0.1, max = 0.8),   death_rates = runif(n_species, min = 0.01, max = 0.08),   norm = FALSE )"},{"path":"/reference/simulateSOI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"n_species Integer: number species x0 vector initial community abundances (default: x0 = NULL), based migration rates names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) carrying_capacity integer community size, number available sites (individuals) matrix: interaction matrix defining positive negative interactions n_species. NULL, powerlawA(n_species) used. (default: = NULL) k_events integer number transition events allowed take place one leap. (default: k_events = 5). Higher values reduce runtime, also accuracy simulation. t_end Numeric: end time simulation, defining modeled time length community. (default: t_end = 1000) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. default, runif(n_species, min = 0.1, max = 0.8) used. (default: metacommunity_probability = runif(n_species, min = 0.1, max = 0.8)) death_rates Numeric: death rates species. default, runif(n_species, min = 0.01, max = 0.08) used. (default: death_rates = runif(n_species, min = 0.01, max = 0.08)) norm logical scalar indicating whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE)","code":""},{"path":"/reference/simulateSOI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"simulateSOI returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateSOI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"","code":"# Generate interaction matrix A <- miaSim::powerlawA(10, alpha = 1.2) # Simulate data from the SOI model tse <- simulateSOI(     n_species = 10, carrying_capacity = 1000, A = A,     k_events = 5, x0 = NULL, t_end = 150, norm = TRUE )"},{"path":"/reference/simulateStochasticLogistic.html","id":null,"dir":"Reference","previous_headings":"","what":"Stochastic Logistic simulation — simulateStochasticLogistic","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"Simulates time series (stochastic) logistic model","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"","code":"simulateStochasticLogistic(   n_species,   names_species = NULL,   growth_rates = NULL,   carrying_capacities = NULL,   death_rates = NULL,   x0 = NULL,   sigma_drift = 0.001,   sigma_epoch = 0.1,   sigma_external = 0.3,   sigma_migration = 0.01,   epoch_p = 0.001,   t_external_events = NULL,   t_external_durations = NULL,   migration_p = 0.01,   metacommunity_probability = NULL,   stochastic = TRUE,   error_variance = 0,   norm = FALSE,   t_end = 1000,   ... )"},{"path":"/reference/simulateStochasticLogistic.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"n_species Integer: number species names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) growth_rates Numeric: growth rates simulated species. NULL, runif(n = n_species, min = 0.1, max = 0.2) used. (default: growth_rates = NULL) carrying_capacities Numeric: max population species supported community. NULL, runif(n = n_species, min = 1000, max = 2000) used. (default: carrying_capacities = NULL) death_rates Numeric: death rates species. NULL, runif(n = n_species, min = 0.0005, max = 0.0025) used. (default: death_rates = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0.1, max = 10) used. (default: x0 = NULL) sigma_drift Numeric: standard deviation normally distributed noise applied time step (t_step) (default: sigma_drift = 0.001) sigma_epoch Numeric: standard deviation normally distributed noise applied random periods community composition frequency defined epoch_p parameter (default: sigma_epoch = 0.1) sigma_external Numeric: standard deviation normally distributed noise applied user-defined external events/disturbances (default: sigma_external = 0.3) sigma_migration Numeric: standard deviation normally distributed variable defines intensity migration time step (t_step) (default: sigma_migration = 0.01) epoch_p Numeric: probability/frequency random periodic changes introduced community composition (default: epoch_p = 0.001) t_external_events Numeric: starting time points defined external events introduce random changes community composition (default: t_external_events = NULL) t_external_durations Numeric: respective duration external events defined 't_external_events' (times) sigma_external (std). (default: t_external_durations = NULL) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) stochastic Logical: whether introduce noise simulation. False, sigma_drift, sigma_epoch, sigma_external ignored. (default: stochastic = TRUE) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"simulateStochasticLogistic returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"change rate species defined dx/dt = b*x*(1-(x/k))*rN - dr*x, b vector growth rates, x vector initial species abundances, k vector maximum carrying capacities, rN random number ranged 0 1 changes time step, dr vector constant death rates. Also, vectors initial dead species abundances can set. number species set 0 dead species abundances surpass alive species abundances.","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"","code":"# Example of logistic model without stochasticity, death rates, or external # disturbances set.seed(42) tse <- simulateStochasticLogistic(     n_species = 5,     stochastic = FALSE, death_rates = rep(0, 5) )  # Adding a death rate set.seed(42) tse1 <- simulateStochasticLogistic(     n_species = 5,     stochastic = FALSE, death_rates = rep(0.01, 5) )  # Example of stochastic logistic model with measurement error set.seed(42) tse2 <- simulateStochasticLogistic(     n_species = 5,     error_variance = 1000 )  # example with all the initial parameters defined by the user set.seed(42) tse3 <- simulateStochasticLogistic(     n_species = 2,     names_species = c(\"species1\", \"species2\"),     growth_rates = c(0.2, 0.1),     carrying_capacities = c(1000, 2000),     death_rates = c(0.001, 0.0015),     x0 = c(3, 0.1),     sigma_drift = 0.001,     sigma_epoch = 0.3,     sigma_external = 0.5,     sigma_migration = 0.002,     epoch_p = 0.001,     t_external_events = c(100, 200, 300),     t_external_durations = c(0.1, 0.2, 0.3),     migration_p = 0.01,     metacommunity_probability = miaSim::rdirichlet(1, alpha = rep(1, 2)),     stochastic = TRUE,     error_variance = 0,     norm = FALSE, # TRUE,     t_end = 400,     t_start = 0, t_step = 0.01,     t_store = 1500 )"}]
+[{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"case-study-with-miasim-strongly-interacting-species-sis-explaining-community-types","dir":"Articles > TreeSummarizedExperiment","previous_headings":"","what":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","title":"caseStudy1-SIS-TreeSE","text":"document provides detailed code required replicate case study 1 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page Reference: Origins Control Community Types Human Microbiome aim case study recalculate Figure 2 demonstrates occurrence SIS clustering results communities. figure, left right, different power-law distributions (defined alpha = 7, 3, 2, 1.6, 1.01) controls strength frequency inter-species interactions. second row, inter-species interactions visualized networks. third row, different clustering results PCoA demonstrated. case study, used sets parameters, acquired similar results.","code":""},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"load-dependencies","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"Load dependencies","title":"caseStudy1-SIS-TreeSE","text":"","code":"library(ggplot2) # library(igraph) library(colourvalues) library(GGally) library(network) library(sna) library(ape) library(dplyr) library(philentropy) library(cluster) library(miaSim)"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"define-a-function-to-generate-power-law-distribution","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"Define a function to generate power-law distribution","title":"caseStudy1-SIS-TreeSE","text":"","code":"# FIXME: probably R already has some function for this; use that to simplify the code and # avoid unnecessary duplication rpower <- function(n, alpha, norm = FALSE) {   u <- runif(n, min = 0, max = 1 - .Machine$double.eps^0.5)   power <- (1 - u)^(1 / (1 - alpha))   if (norm) {     return(power / mean(power))   } else {     return(power)   } }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"load-parameters-used-by-gibson-et-al-","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"Load parameters used by Gibson et al.","title":"caseStudy1-SIS-TreeSE","text":"","code":"params <- data.frame(   alpha = c(7, 3, 2, 1.6, 1.01),   t_end = c(20, 10, 5, 2, 1),   t_step = c(0.02, 0.01, 0.005, 0.002, 0.001) ) set.seed(42) n_species <- 100  # Define local communities; # we use here a smaller number in order to speed up demo calculations # local_communities <- seq_len(100) # Too slow!     local_communities <- c(1, 5, 10, 20) # Faster"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"create-variables-to-store-results","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"create variables to store results","title":"caseStudy1-SIS-TreeSE","text":"","code":"H <- list() df <- list() plot_hist <- list() N <- list() interactions_custom <- list() A <- list() g <- list() g_plot <- list() local_species_pool <- list() local_A <- list()"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"generate-constants-and-plot-different-distributions","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"generate constants and plot different distributions","title":"caseStudy1-SIS-TreeSE","text":"","code":"set.seed(42) for (row in seq_len(nrow(params))) {   # for each power-law distribution   print(paste(\"row =\", row))    H[[row]] <- rpower(n = n_species, alpha = params$alpha[row], norm = TRUE)   df[[row]] <- data.frame(H[[row]])   plot_hist[[row]] <- ggplot(df[[row]], aes(H[[row]])) +     ggtitle(paste(\"alpha =\", params$alpha[[row]])) +     geom_histogram(fill = \"steelblue\", color = \"grey20\", bins = 10) +     scale_y_log10(breaks = c(1, 10, 100), limits = c(1, 100)) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))      # plot_hist[[row]]   print(plot_hist[[row]])    N[[row]] <- matrix(rnorm(n = n_species^2, mean = 0, sd = 1), nrow = n_species)   diag(N[[row]]) <- 0   interactions_custom[[row]] <- N[[row]] %*% diag(H[[row]])   A[[row]] <- randomA(     n_species = 100,     diagonal = -1,     scale_off_diagonal = 0.07,     connectance = 1,     interactions = interactions_custom[[row]]   )   g[[row]] <- graph_from_adjacency_matrix(A[[row]], weighted = TRUE, diag = FALSE)   print(paste(\"max edge weight =\", max(E(g[[row]])$weight)))   E(g[[row]])$color <- head(colour_values(c(abs(E(g[[row]])$weight), 0), alpha = 0, include_alpha = TRUE), -1)    g_plot[[row]] <- ggnet2(     net = g[[row]],     mode = \"circle\",     node.color = \"black\",     node.size = 1,     edge.color = \"color\", edge.alpha = 0.25   ) +      labs(title=paste(\"alpha =\", params$alpha[[row]])) +      theme(plot.title = element_text(hjust = 0.5))    print(g_plot[[row]])    local_species_pool[[row]] <- list()   local_A[[row]] <- list()    for (local_community in local_communities) {     local_species_pool[[row]][[local_community]] <- sample(x = 100, size = 80)     local_A[[row]][[local_community]] <- A[[row]][local_species_pool[[row]][[local_community]], local_species_pool[[row]][[local_community]]]   } }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"identify-sis-using-hrow","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"identify SIS using H[[row]]","title":"caseStudy1-SIS-TreeSE","text":"","code":"SIS <- list() group_sis <- list() for (row in seq_len(nrow(params))) {   SIS[[row]] <- head(order(H[[row]], decreasing = TRUE), 1)   group_sis[[row]] <- list()   for (local_community in local_communities) {     if (paste0(\"sp\", SIS[[row]]) %in% rownames(local_A[[row]][[local_community]])) {       group_sis[[row]][[local_community]] <- \"with SIS\"     } else {       group_sis[[row]][[local_community]] <- \"without SIS\"     }   }   group_sis[[row]] <- unlist(group_sis[[row]]) }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"simulate-glv-models-using-different-growth-rates-in-4-scenarios","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"simulate GLV models using different growth rates in 4 scenarios","title":"caseStudy1-SIS-TreeSE","text":"first scenario original one Gibson et al., rest explorations (second scenario assigning various growth rates random species; third scenario assigning faster growth rate SIS; fourth scenario assigning faster growth rate non-SIS). Different scenarios implemented overwriting default random growth rates simulation function.","code":""},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"prepare-result-lists-and-scenarios","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"prepare result lists and scenarios","title":"caseStudy1-SIS-TreeSE","text":"case study, focus first scenario. example uses smaller number local communities faster computations code can easily adapted vary numbers. order run several scenarios, can replace scenario <- 1 loop like (scenario seq_along(scenarios)) {...}.","code":"simulation_GLV <- list() otu_table <- list() jsd <- list() PCoA <- list() PCoA_coord <- list() bestk <- list() PAM <- list() SI <- list() groups <- list() pcoa_plot <- list() dfs_to_bind <- list()  scenarios <- c(\"original\", \"various growth rates\", \"SIS grows faster\", \"non-SIS grows faster\") growthRates <- vector(mode = \"list\", length = 4) growthRates[[1]] <- rep(1, 80) growthRates[[2]] <- NULL # growthRates for scenario 3 and 4 are assigned in the following loop customPalette <- c(\"#d95319\", \"#0072bd\", \"#edb120\", \"#7e2f8e\") scenario <- 1   print(paste0(\"scenario: \", scenarios[scenario]))    ### make new lists ####   simulation_GLV[[scenario]] <- list()   otu_table[[scenario]] <- list()   jsd[[scenario]] <- list()   PCoA[[scenario]] <- list()   PCoA_coord[[scenario]] <- list()   bestk[[scenario]] <- list()   PAM[[scenario]] <- list()   SI[[scenario]] <- list()   groups[[scenario]] <- list()   pcoa_plot[[scenario]] <- list()    ### run simulations ####   for (row in seq_len(nrow(params))) {     simulation_GLV[[scenario]][[row]] <- list()     otu_table[[scenario]][[row]] <- data.frame(matrix(nrow = 0, ncol = 100))     colnames(otu_table[[scenario]][[row]]) <- paste0(\"sp\", 1:100)     dfs_to_bind[[scenario]] <- list()      #### overwrite growth rates ####         # for (local_community in local_communities) {      for (local_community in local_communities) {          if (scenario == 3) {         growthRates[[scenario]] <- 9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 0.1       }       if (scenario == 4) {         growthRates[[scenario]] <- -9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 10       }        simulation_GLV[[scenario]][[row]][[local_community]] <- simulateGLV(         n_species = 80,         names_species = paste0(\"sp\", local_species_pool[[row]][[local_community]]),         A = local_A[[row]][[local_community]],         x0 = rep(1, 80),         growth_rates = growthRates[[scenario]],         t_end = params$t_end[row],         t_step = params$t_step[row],         stochastic = FALSE,         norm = TRUE       )        # makePlot(simulation_GLV[[scenario]][[row]][[local_community]]$matrix)       dfs_to_bind[[scenario]] <- append(dfs_to_bind[[scenario]], list(simulation_GLV[[scenario]][[row]][[local_community]]$matrix[time = 1000, ]))     }      ### form otu tables ####     otu_table[[scenario]][[row]] <- bind_rows(dfs_to_bind[[scenario]])     otu_table[[scenario]][[row]] <- subset(otu_table[[scenario]][[row]], select = -time)     otu_table[[scenario]][[row]][is.na(otu_table[[scenario]][[row]])] <- 0      ### calculate jensen-shannon distance and plot PCoA ####     jsd[[scenario]][[row]] <- JSD(as.matrix(otu_table[[scenario]][[row]]))     PCoA[[scenario]][[row]] <- ape::pcoa(as.dist(jsd[[scenario]][[row]]))     PCoA_coord[[scenario]][[row]] <- PCoA[[scenario]][[row]]$vectors[, 1:2]     colnames(PCoA_coord[[scenario]][[row]]) <- c(\"PCo1\", \"PCo2\")      bestk[[scenario]][[row]] <- 2     PAM[[scenario]][[row]] <- pam(PCoA[[scenario]][[row]]$vectors, k = 2)     SI[[scenario]][[row]] <- PAM[[scenario]][[row]]$silinfo$avg.width      # Too slow, let us limit k to 2..3 in the example (earlier 3:10)     for (k in 2:3) {       PAMtemp <- pam(PCoA[[scenario]][[row]]$vectors, k = k)       if (PAMtemp$silinfo$avg.width > SI[[scenario]][[row]]) {         SI[[scenario]][[row]] <- PAMtemp$silinfo$avg.width         bestk[[scenario]][[row]] <- k         PAM[[scenario]][[row]] <- PAMtemp       }     }      groups[[scenario]][[row]] <- factor(PAM[[scenario]][[row]]$clustering)      dataframe_pcoa <- as.data.frame(PCoA_coord[[scenario]][[row]])     dataframe_pcoa$group <- groups[[scenario]][[row]]     p <- ggplot(       dataframe_pcoa,       aes(x = PCo1, y = PCo2, color = group)     ) +       labs(title = paste(\"scenario\", scenario, scenarios[scenario], \";\", \"alpha =\", params$alpha[[row]])) +       geom_point() +       theme_bw() +       scale_color_manual(values = customPalette) +       theme(legend.position = \"none\", plot.title = element_text(hjust = 0.5))            # Store the plot     pcoa_plot[[scenario]][[row]] <- p     # Show the plot     print(pcoa_plot[[scenario]][[row]])   }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy1-SIS.html","id":"validate-relationship-between-cluster-and-sis","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Strongly interacting species (SIS) explaining community types","what":"validate relationship between cluster and SIS","title":"caseStudy1-SIS-TreeSE","text":"compare previou PCoA results PCoA results rendered /without SIS, can find last figures (alpha = 1.6 alpha=1.01, ’s one SIS), community types clustered way rendered /without SIS, indicating occurrence SIS can influence community types.","code":"pcoa_plot_sis <- list() for (row in seq_len(nrow(params))) {   pcoa_plot_sis[[row]] <- ggplot(as.data.frame(PCoA_coord[[1]][[row]]), aes(x = PCo1, y = PCo2)) +     geom_point(aes(colour = group_sis[[row]])) +     labs(title=paste(\"alpha =\", params$alpha[[row]])) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))   print(pcoa_plot_sis[[row]]) # pcoa_validation_ plots }"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"case-study-with-miasim-nutrient-concentration-threshold","dir":"Articles > TreeSummarizedExperiment","previous_headings":"","what":"Case study with miaSim: Nutrient concentration threshold","title":"caseStudy2-NutrientThreshold-TreeSE","text":"document provides detailed code required replicate case study 2 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page Reference: Available energy fluxes drive transition diversity, stability, functional structure microbial communities. aim case study design demonstrate existence nutrient concentration threshold limits beta-diversity communities. fulfill aim, designed gradient environments, well gradient communities.","code":""},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"load-dependencies","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Load dependencies","title":"caseStudy2-NutrientThreshold-TreeSE","text":"batch simulations time-consuming. reduce calculation burden, decreased numbers environments, resources, communities original 10 5, made minor modifications.","code":"library(ggplot2) library(vegan) library(reshape2) library(mia) library(miaSim) library(philentropy) library(cluster)  # Load auxiliary functions from: # https://github.com/microbiome/miaSim/blob/main/vignettes/funcs.R source(\"funcs.R\")"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"set-random-seed-and-initial-shared-parameters","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Set random seed and initial shared parameters","title":"caseStudy2-NutrientThreshold-TreeSE","text":"","code":"set.seed(42) n_species <- 5 n_resources <- 5 E <- randomE(n_species, n_resources, mean_consumption = 1, mean_production = 3) growth_rates <- runif(n_species) monod_constant <- matrix(rbeta(n_species*n_resources, 10,10),                                nrow=n_species,                    ncol=n_resources) t_store <- 50 n.instances <- 1 # no stochastic process: no need to repeat"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"initialization","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Initialization","title":"caseStudy2-NutrientThreshold-TreeSE","text":"Generate communities.  Initialize shared parameters. Generate resource gradients.","code":"n.community <- 5 # you can also try 20 or even 50. density.community <- 0.8 set.seed(42) # Check the Rmd source file for gradient.df.generator function source code: # https://github.com/microbiome/miaSim/blob/main/vignettes/caseStudy2-NutrientThreshold.Rmd community.initial.df <- gradient.df.generator(n_row = n.community,                                               n_col = n_species,                                               density_row = density.community,                           max_gradient = 0.7,                           error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 dist.community.initial.df <- vegdist(community.initial.df, method = \"bray\")  # Create TreeSummarizedExperiment object for the initial community community.initial.tse <- TreeSummarizedExperiment(assays=SimpleList(abundances=t(as.matrix(community.initial.df))))  # Visualze dissimilarities for the initial community makeHeatmap(as.matrix(dist.community.initial.df),             title = \"dissimilarity matrix\",             x.label = \"community.1\",             y.label = \"community.2\") crm_params <- list(     n_species = n_species,     n_resources = n_resources,     x0 = NULL,     E = E,     resources = rep(1,n_resources),     monod_constant = monod_constant,     migration_p = 0,     stochastic = FALSE,     t_start = 0,     t_end = 50,     t_step = 1,     t_store = t_store,     growth_rates = growth_rates,     norm=FALSE) resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5 density.medium <- 0.8 n_species <- 5 set.seed(42)  resource.initial.df <- gradient.df.generator(n_row = n.medium,     n_col = n_resources, density_row = density.medium,     max_gradient = 0.7, error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"simulations","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Simulations","title":"caseStudy2-NutrientThreshold-TreeSE","text":"","code":"# Pick the initial community initial.community <- assay(community.initial.tse, \"abundances\")  crmExample <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     E = E,     x0 = as.numeric(initial.community[,1]), # First sample from the initial community     resources = as.numeric(resourceConcentration[3]*resource.initial.df[1,]),     growth_rates = growth_rates,     monod_constant = monod_constant,     stochastic = FALSE,     t_end = 50,     t_step = 1,     t_store = 50,     norm = FALSE)  #makePlot(crmExample$matrix) tsem <- meltAssay(crmExample, assay.type = \"counts\", add_col_data = \"time\") p <- ggplot(tsem, aes(x=time, y=counts, color = FeatureID)) +         geom_line(show.legend = TRUE, lwd=0.5) +         labs(title=\"Species abundances by time\") +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) print(p) #makePlotRes(crmExample$resources) df <- as.data.frame(metadata(crmExample)$resources) df$time <- colData(crmExample)$time dft <-  melt(df, id=\"time\") names(dft) <- c(\"time\", \"resources\", \"S.t\") p <- ggplot(dft, aes(x=time, y=S.t, col = resources)) +         geom_line(show.legend = TRUE, lwd=0.5) +         labs(title=\"Quantity of compounds by time\") +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) # Generate simulations and store the final community in community.simulation # Here the final relative abundance table is basisComposition_prop.  set.seed(42) resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5  # make use of parallel computing provided by package `foreach` library(foreach) library(doParallel) cl <- makeCluster(max(detectCores()/2, 1)) registerDoParallel(cl) basisComposition <- foreach(resConc = resourceConcentration, .combine = rbind) %:%      foreach(medium = seq_len(n.medium), .combine = rbind, .packages = \"miaSim\") %dopar% {         crm_params$resources <- as.numeric(resource.initial.df[medium,]*resConc)         paramx0 <- as.list(as.data.frame(t(community.initial.df)))         crm_param_iter <- list(x0 = paramx0)         print(paste(\"resConc\", resConc, \"medium\", medium))         crmMoments <- miaSim::generateSimulations(model = \"simulateConsumerResource\",                                            params_list = crm_params,                                            param_iter = crm_param_iter,                                            n_instances = n.instances,                                            t_end = 50)         # pick community composition at the last time point                as.data.frame(do.call(rbind, lapply(crmMoments, function (x) {assay(x, \"counts\")[, ncol(x)]})))     } stopCluster(cl) basisComposition_prop <- basisComposition / rowSums(basisComposition)"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"make-umap-plots","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Make UMAP plots","title":"caseStudy2-NutrientThreshold-TreeSE","text":"step, plot result stored umap_CRM_gradient_plot, visualized different facets.","code":"resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5 n.community <- 5 concentration <- as.factor(rep(resourceConcentration, each = n.medium*n.community)) medium <- as.factor(rep(seq_len(n.medium), each = n.community ,times = length(resourceConcentration) )) community <- as.factor(rep(seq_len(n.community), times = length(resourceConcentration)*n.medium))  # Visualize with UMAP   ## Provide the community data as TreeSE object library(scater) tse <- TreeSummarizedExperiment(                 assays=SimpleList(abundances=t(as.matrix(basisComposition))),         colData=DataFrame(Medium=medium,                               Concentration=concentration,                       Community=community                       )             ) ## Add UMAP tse <- runUMAP(tse, name = \"UMAP\", exprs_values = \"abundances\")  ## Plot UMAP plotReducedDim(tse, \"UMAP\", colour_by=\"Medium\", shape_by=\"Concentration\")  # Same for compositional abundance data library(mia) ## add relative abundances; tse <- transformSamples(tse, assay.type=\"abundances\", method=\"relabundance\") tse <- runUMAP(tse, name = \"UMAP_compositional\", exprs_values = \"relabundance\") plotReducedDim(tse, \"UMAP_compositional\", colour_by=\"Medium\", shape_by=\"Concentration\") # Finally with communities umap_CRM_gradient_plot <<- plotReducedDim(tse, \"UMAP_compositional\",    colour_by=\"Medium\", shape_by=\"Community\", size_by=\"Concentration\")"},{"path":"/articles/TreeSummarizedExperiment/caseStudy2-NutrientThreshold.html","id":"visualization-of-the-results","dir":"Articles > TreeSummarizedExperiment","previous_headings":"Case study with miaSim: Nutrient concentration threshold","what":"Visualization of the results","title":"caseStudy2-NutrientThreshold-TreeSE","text":"part, different visualization results demonstrate (various facets) gradual change communities’ beta diversity. first figure indicates initial community composition important combinations initial available resources. first sub-figure second figure demonstrates oligotrophic (less available nutrients) environment, communities won’t change much given time, whilst last two sub-figures resemble , implying nutrient longer limiting factor beta-diversity community. pattern displayed following “curve plot”. third figure, second th community always stays similar, despite initial dissimilarity, indicating might belong one community type. can validated input 20 even 50 n.community case study: communities turns clusters sub-figures.","code":"# FIXME: the visual output can be polished later. print(umap_CRM_gradient_plot) umap_CRM_gradient_plot + facet_grid(size_by ~ ., labeller = label_both) umap_CRM_gradient_plot + facet_grid(colour_by ~ size_by, labeller = label_both) umap_CRM_gradient_plot + facet_grid(shape_by ~ size_by, labeller = label_both) umap_CRM_gradient_plot + facet_grid(shape_by ~ colour_by, labeller = label_both)"},{"path":"/articles/miaSim.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"miaSim: Microbiome Data Simulation","text":"miaSim implements tools microbiome data simulation based varying ecological modeling assumptions. can used simulate species abundance matrices, including time series. Detailed function documentation available function reference miaSim package supports R/Bioconductor multi-assay framework. information operating data format microbial ecology, see online tutorial.","code":""},{"path":"/articles/miaSim.html","id":"installation","dir":"Articles","previous_headings":"Introduction","what":"Installation","title":"miaSim: Microbiome Data Simulation","text":"stable Bioconductor release version can installed follows. experimental Bioconductor devel version can installed follows. Load library","code":"if (!requireNamespace(\"BiocManager\", quietly = TRUE))     install.packages(\"BiocManager\") if (!requireNamespace(\"miaSim\", quietly = TRUE))         BiocManager::install(\"miaSim\") if (!requireNamespace(\"BiocManager\", quietly = TRUE))     install.packages(\"BiocManager\") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install(\"miaSim\") library(miaSim)"},{"path":[]},{"path":"/articles/miaSim.html","id":"generate-species-interaction-matrices-for-the-models","dir":"Articles","previous_headings":"Introduction > Examples","what":"Generate species interaction matrices for the models","title":"miaSim: Microbiome Data Simulation","text":"models rely interaction matrices represents interaction heterogeneity species. interaction matrix can generated different distributional assumptions. Generate interactions normal distribution: Generate interactions uniform distribution:","code":"A_normal <- powerlawA(n_species = 4, alpha = 3) A_uniform <- randomA(n_species = 10,                  diagonal = -0.4,                      connectance = 0.5,              interactions = runif(n = 10^2, min = -0.8, max = 0.8))"},{"path":"/articles/miaSim.html","id":"hubbell-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Hubbell model","title":"miaSim: Microbiome Data Simulation","text":"Hubbell Neutral simulation model characterizes diversity relative abundance species ecological communities assuming migration, births deaths interactions. Losses become replaced migration birth. One can also simulate parameters Hubbell model.","code":"tse_hubbell <- simulateHubbell(n_species = 8,                                M = 10,                    carrying_capacity = 1000,                                k_events = 50,                    migration_p = 0.02,                    t_end = 100) params_hubbell <- simulateHubbellRates(x0 = c(0,5,10),     migration_p = 0.1, metacommunity_probability = NULL, k_events = 1,      growth_rates = NULL, norm = FALSE, t_end=1000)"},{"path":"/articles/miaSim.html","id":"stochastic-logistic-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Stochastic logistic model","title":"miaSim: Microbiome Data Simulation","text":"Stochastic logistic model used determine dead alive counts community.","code":"tse_logistic <- simulateStochasticLogistic(n_species = 5)"},{"path":"/articles/miaSim.html","id":"self-organised-instability-soi","dir":"Articles","previous_headings":"Introduction > Examples","what":"Self-Organised Instability (SOI)","title":"miaSim: Microbiome Data Simulation","text":"Self-Organised Instability (SOI) model generates time series communities accelerates stochastic simulation.","code":"tse_soi <- simulateSOI(n_species = 4, carrying_capacity = 1000,                        A = A_normal, k_events=5,                x0 = NULL,t_end = 150, norm = TRUE)"},{"path":"/articles/miaSim.html","id":"consumer-resource-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Consumer-resource model","title":"miaSim: Microbiome Data Simulation","text":"consumer resource model requires randomE function. returns matrix containing production rates consumption rates species. resulting matrix used determination resource consumption efficiency. visualize simulated dynamics using tools miaTime package.","code":"# Consumer-resource model as a TreeSE object tse_crm <- simulateConsumerResource(n_species = 2,                                     n_resources = 4,                                     E = randomE(n_species = 2, n_resources = 4))"},{"path":"/articles/miaSim.html","id":"generalized-lotka-volterra-glv","dir":"Articles","previous_headings":"Introduction > Examples","what":"Generalized Lotka-Volterra (gLV)","title":"miaSim: Microbiome Data Simulation","text":"generalized Lotka-Volterra simulation model generates time-series assuming microbial population dynamics interaction.","code":"tse_glv <- simulateGLV(n_species = 4,                        A = A_normal,                t_start = 0,                         t_store = 1000,                stochastic = FALSE,                norm = FALSE)"},{"path":"/articles/miaSim.html","id":"ricker-model","dir":"Articles","previous_headings":"Introduction > Examples","what":"Ricker model","title":"miaSim: Microbiome Data Simulation","text":"Ricker model discrete version gLV: number species specified interaction matrix must species used models.","code":"tse_ricker <- simulateRicker(n_species=4, A = A_normal, t_end=100, norm = FALSE)"},{"path":"/articles/miaSim.html","id":"data-containers","dir":"Articles","previous_headings":"Introduction","what":"Data containers","title":"miaSim: Microbiome Data Simulation","text":"simulated data sets returned TreeSummarizedExperiment objects. provides access broad range tools microbiome analysis support format (see microbiome.github.io). examples object manipulation analysis can found OMA Online Manual. instance, plot population density can use miaViz package:","code":""},{"path":"/articles/miaSim.html","id":"case-studies","dir":"Articles","previous_headings":"Introduction","what":"Case studies","title":"miaSim: Microbiome Data Simulation","text":"Source code replicating published case studies using miaSim package (Gao et al. 2023) available Github (based phyloseq data container).","code":""},{"path":"/articles/miaSim.html","id":"related-work","dir":"Articles","previous_headings":"Introduction","what":"Related work","title":"miaSim: Microbiome Data Simulation","text":"micodymora Python package microbiome simulation","code":""},{"path":"/articles/miaSim.html","id":"session-info","dir":"Articles","previous_headings":"","what":"Session info","title":"miaSim: Microbiome Data Simulation","text":"","code":"sessionInfo() ## R version 4.3.2 (2023-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 23.10 ##  ## Matrix products: default ## BLAS:   /home/leo/bin/R-4.3.2/lib/libRblas.so  ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.11.0 ##  ## locale: ##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               ##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8     ##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8    ##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  ##  [9] LC_ADDRESS=C               LC_TELEPHONE=C             ## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C        ##  ## time zone: Europe/Helsinki ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats4    stats     graphics  grDevices utils     datasets  methods   ## [8] base      ##  ## other attached packages: ##  [1] miaSim_1.9.1                    TreeSummarizedExperiment_2.10.0 ##  [3] Biostrings_2.70.1               XVector_0.42.0                  ##  [5] SingleCellExperiment_1.24.0     SummarizedExperiment_1.32.0     ##  [7] Biobase_2.62.0                  GenomicRanges_1.54.1            ##  [9] GenomeInfoDb_1.38.5             IRanges_2.36.0                  ## [11] S4Vectors_0.40.2                BiocGenerics_0.48.1             ## [13] MatrixGenerics_1.14.0           matrixStats_1.2.0               ## [15] BiocStyle_2.30.0                ##  ## loaded via a namespace (and not attached): ##  [1] xfun_0.41               bslib_0.6.1             poweRlaw_0.70.6         ##  [4] lattice_0.22-5          yulab.utils_0.1.2       vctrs_0.6.5             ##  [7] tools_4.3.2             bitops_1.0-7            generics_0.1.3          ## [10] parallel_4.3.2          tibble_3.2.1            fansi_1.0.6             ## [13] pkgconfig_2.0.3         Matrix_1.6-4            desc_1.4.3              ## [16] lifecycle_1.0.4         GenomeInfoDbData_1.2.11 compiler_4.3.2          ## [19] treeio_1.26.0           textshaping_0.3.7       codetools_0.2-19        ## [22] htmltools_0.5.7         sass_0.4.8              lazyeval_0.2.2          ## [25] RCurl_1.98-1.13         yaml_2.3.8              pracma_2.4.4            ## [28] tidyr_1.3.0             pkgdown_2.0.7           pillar_1.9.0            ## [31] crayon_1.5.2            jquerylib_0.1.4         BiocParallel_1.36.0     ## [34] DelayedArray_0.28.0     cachem_1.0.8            abind_1.4-5             ## [37] nlme_3.1-164            tidyselect_1.2.0        digest_0.6.33           ## [40] dplyr_1.1.4             purrr_1.0.2             bookdown_0.37           ## [43] fastmap_1.1.1           grid_4.3.2              cli_3.6.2               ## [46] SparseArray_1.2.3       magrittr_2.0.3          S4Arrays_1.2.0          ## [49] utf8_1.2.4              ape_5.7-1               rmarkdown_2.25.2        ## [52] deSolve_1.40            ragg_1.2.7              memoise_2.0.1           ## [55] evaluate_0.23           knitr_1.45              rlang_1.1.2             ## [58] Rcpp_1.0.11             tidytree_0.4.6          glue_1.6.2              ## [61] BiocManager_1.30.22     jsonlite_1.8.8          R6_2.5.1                ## [64] systemfonts_1.0.5       fs_1.6.3                zlibbioc_1.48.0"},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"introduction","dir":"Articles > Phyloseq","previous_headings":"","what":"Introduction","title":"caseStudy1-SIS-phyloseq","text":"document provides detailed code required replicate case study 1 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 replication study implemented phyloseq. TreeSE package since upgraded use TreeSE data container. general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page","code":""},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"case-study-1-strongly-interacting-species-sis-explaining-community-types","dir":"Articles > Phyloseq","previous_headings":"","what":"Case study 1: Strongly interacting species (SIS) explaining community types","title":"caseStudy1-SIS-phyloseq","text":"(Reference: Origins Control Community Types Human Microbiome) aim case study recalculate Figure 2 demonstrates occurrence SIS clustering results communities. figure, left right, different power-law distributions (defined alpha = 7, 3, 2, 1.6, 1.01) controls strength frequency inter-species interactions. second row, inter-species interactions visualized networks. third row, different clustering results PCoA demonstrated. case study, used sets parameters, acquired similar results.","code":""},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"setup","dir":"Articles > Phyloseq","previous_headings":"Case study 1: Strongly interacting species (SIS) explaining community types","what":"Setup","title":"caseStudy1-SIS-phyloseq","text":"Let us load dependencies Define function generate power-law distribution Load parameters used Gibson et al. Create variables store results","code":"library(ggplot2) library(igraph) library(colourvalues) library(GGally) library(network) library(sna) library(dplyr) library(philentropy) library(cluster) library(ape) library(intergraph) library(umap) library(miaSim) rpower <- function(n, alpha, norm = FALSE) {   u <- runif(n, min = 0, max = 1 - .Machine$double.eps^0.5)   power <- (1 - u)^(1 / (1 - alpha))   if (norm) {     return(power / mean(power))   } else {     return(power)   } } params <- data.frame(   alpha = c(7, 3, 2, 1.6, 1.01),   t_end = c(20, 10, 5, 2, 1),   t_step = c(0.02, 0.01, 0.005, 0.002, 0.001) ) set.seed(42) n_species <- 100 H <- list() df <- list() plot_hist <- list() N <- list() interactions_custom <- list() A <- list() g <- list() g_plot <- list() local_species_pool <- list() local_A <- list()"},{"path":"/articles/phyloseq/caseStudy1-SIS.html","id":"generate-constants-and-plot-different-distributions","dir":"Articles > Phyloseq","previous_headings":"Case study 1: Strongly interacting species (SIS) explaining community types","what":"Generate constants and plot different distributions","title":"caseStudy1-SIS-phyloseq","text":"Identify SIS using H[[row]] Simulate GLV models using different growth rates 4 scenarios first scenario original one Gibson et al., rest explorations (second scenario assigning various growth rates random species; third scenario assigning faster growth rate SIS; fourth scenario assigning faster growth rate non-SIS). Different scenarios implemented overwriting default random growth rates simulation function. Let us prepare result lists scenarios. case study, focus first scenario. (explore , simply remove first line, put code loop like (scenario seq_along(scenarios)) {...} .) Validate relationship cluster SIS compare previous PCoA results PCoA results rendered /without SIS, can find last figures (alpha = 1.6 alpha=1.01, ’s one SIS), community types clustered way rendered /without SIS, indicating occurrence SIS can influence community types.","code":"set.seed(42) for (row in seq_len(nrow(params))) {   # for each power-law distribution   print(paste(\"row =\", row))    H[[row]] <- rpower(n = n_species, alpha = params$alpha[row], norm = TRUE)   df[[row]] <- data.frame(H[[row]])   plot_hist[[row]] <- ggplot(df[[row]], aes(H[[row]])) +     ggtitle(paste(\"alpha =\", params$alpha[[row]])) +     geom_histogram(fill = \"steelblue\", color = \"grey20\", bins = 10) +     scale_y_log10(breaks = c(1, 10, 100), limits = c(1, 100)) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))      # plot_hist[[row]]   print(plot_hist[[row]])    N[[row]] <- matrix(rnorm(n = n_species^2, mean = 0, sd = 1), nrow = n_species)   diag(N[[row]]) <- 0   interactions_custom[[row]] <- N[[row]] %*% diag(H[[row]])   A[[row]] <- randomA(     n_species = 100,     diagonal = -1,     scale_off_diagonal = 0.07,     connectance = 1,     interactions = interactions_custom[[row]]   )   g[[row]] <- graph_from_adjacency_matrix(A[[row]], weighted = TRUE, diag = FALSE)   print(paste(\"max edge weight =\", max(E(g[[row]])$weight)))   rev_viridis <- get_palette(\"viridis\")[rev(seq_len(nrow(get_palette(\"viridis\")))), ]   E(g[[row]])$color <- head(colour_values(c(abs(E(g[[row]])$weight), 0), palette = rev_viridis, alpha = 0, include_alpha = TRUE), -1)   g_plot[[row]] <- ggnet2(     net = g[[row]],     mode = \"circle\",     node.color = \"black\",     node.size = 1,     edge.color = \"color\", edge.alpha = 0.25   ) +      ggtitle(paste(\"alpha =\", params$alpha[[row]])) +      theme(plot.title = element_text(hjust = 0.5))   # g_plot[[row]]   print(g_plot[[row]])    local_species_pool[[row]] <- list()   local_A[[row]] <- list()    for (local_community in seq_len(100)) {     local_species_pool[[row]][[local_community]] <- sample(x = 100, size = 80)     local_A[[row]][[local_community]] <- A[[row]][local_species_pool[[row]][[local_community]], local_species_pool[[row]][[local_community]]]   }   # save histogram and network plots ####   # ggsave(paste0(\"hist\", params$alpha[row], \".pdf\"), plot = plot_hist[[row]], dpi = 300, width = 6, height = 6, units = \"cm\")   # ggsave(paste0(\"net\", params$alpha[row], \".pdf\"), plot = g_plot[[row]], dpi = 300, width = 6, height = 6, units = \"cm\") } ## [1] \"row = 1\" ## [1] \"max edge weight = 0.42198663955657\" ## [1] \"row = 2\" ## [1] \"max edge weight = 1.14350270284621\" ## [1] \"row = 3\" ## [1] \"max edge weight = 12.6240910282149\" ## [1] \"row = 4\" ## [1] \"max edge weight = 11.4025806066921\" ## [1] \"row = 5\" ## [1] \"max edge weight = 19.1461396036079\" SIS <- list() group_sis <- list() for (row in seq_len(nrow(params))) {   SIS[[row]] <- head(order(H[[row]], decreasing = TRUE), 1)   group_sis[[row]] <- list()   for (local_community in seq_len(100)) {     if (paste0(\"sp\", SIS[[row]]) %in% rownames(local_A[[row]][[local_community]])) {       group_sis[[row]][[local_community]] <- \"with SIS\"     } else {       group_sis[[row]][[local_community]] <- \"without SIS\"     }   }   group_sis[[row]] <- unlist(group_sis[[row]]) } simulation_GLV <- list() otu_table <- list() jsd <- list() PCoA <- list() PCoA_coord <- list() bestk <- list() PAM <- list() SI <- list() groups <- list() pcoa_plot <- list() dfs_to_bind <- list()  scenarios <- c(\"original\", \"various growth rates\", \"SIS grows faster\", \"non-SIS grows faster\") growthRates <- vector(mode = \"list\", length = 4) growthRates[[1]] <- rep(1, 80) growthRates[[2]] <- NULL # growthRates for scenario 3 and 4 are assigned in the following loop  customPalette <- c(\"#d95319\", \"#0072bd\", \"#edb120\", \"#7e2f8e\") scenario <- 1   print(paste0(\"scenario: \", scenarios[scenario]))    ### make new lists ####   simulation_GLV[[scenario]] <- list()   otu_table[[scenario]] <- list()   jsd[[scenario]] <- list()   PCoA[[scenario]] <- list()   PCoA_coord[[scenario]] <- list()   bestk[[scenario]] <- list()   PAM[[scenario]] <- list()   SI[[scenario]] <- list()   groups[[scenario]] <- list()   pcoa_plot[[scenario]] <- list()    ### run simulations ####   for (row in seq_len(nrow(params))) {     simulation_GLV[[scenario]][[row]] <- list()     otu_table[[scenario]][[row]] <- data.frame(matrix(nrow = 0, ncol = 100))     colnames(otu_table[[scenario]][[row]]) <- paste0(\"sp\", 1:100)     dfs_to_bind[[scenario]] <- list()      #### overwrite growth rates ####     for (local_community in seq_len(100)) {       if (scenario == 3) {         growthRates[[scenario]] <- 9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 0.1       }       if (scenario == 4) {         growthRates[[scenario]] <- -9.9 * local_species_pool[[row]][[local_community]] == SIS[[row]] + 10       }        simulation_GLV[[scenario]][[row]][[local_community]] <- simulateGLV(         n_species = 80,         names_species = paste0(\"sp\", local_species_pool[[row]][[local_community]]),         A = local_A[[row]][[local_community]],         x0 = rep(1, 80),         growth_rates = growthRates[[scenario]],         t_end = params$t_end[row],         t_step = params$t_step[row],         stochastic = FALSE,         norm = TRUE       )        # makePlot(simulation_GLV[[scenario]][[row]][[local_community]]$matrix)       dfs_to_bind[[scenario]] <- append(dfs_to_bind[[scenario]], list(simulation_GLV[[scenario]][[row]][[local_community]]$matrix[time = 1000, ]))     }      ### form otu tables ####     otu_table[[scenario]][[row]] <- bind_rows(dfs_to_bind[[scenario]])     otu_table[[scenario]][[row]] <- otu_table[[scenario]][[row]][, setdiff(colnames(otu_table[[scenario]][[row]]), \"time\")] # Remove time column     otu_table[[scenario]][[row]][is.na(otu_table[[scenario]][[row]])] <- 0      ### calculate jensen-shannon distance and plot PCoA ####     jsd[[scenario]][[row]] <- JSD(as.matrix(otu_table[[scenario]][[row]]))     PCoA[[scenario]][[row]] <- ape::pcoa(as.dist(jsd[[scenario]][[row]]))     PCoA_coord[[scenario]][[row]] <- PCoA[[scenario]][[row]]$vectors[, 1:2]     colnames(PCoA_coord[[scenario]][[row]]) <- c(\"PCo1\", \"PCo2\")      bestk[[scenario]][[row]] <- 2     PAM[[scenario]][[row]] <- pam(PCoA[[scenario]][[row]]$vectors, k = 2)     SI[[scenario]][[row]] <- PAM[[scenario]][[row]]$silinfo$avg.width      for (k in 3:10) {       PAMtemp <- pam(PCoA[[scenario]][[row]]$vectors, k = k)       if (PAMtemp$silinfo$avg.width > SI[[scenario]][[row]]) {         SI[[scenario]][[row]] <- PAMtemp$silinfo$avg.width         bestk[[scenario]][[row]] <- k         PAM[[scenario]][[row]] <- PAMtemp       }     }      groups[[scenario]][[row]] <- factor(PAM[[scenario]][[row]]$clustering)      dataframe_pcoa <- as.data.frame(PCoA_coord[[scenario]][[row]])     dataframe_pcoa$group <- groups[[scenario]][[row]]     pcoa_plot[[scenario]][[row]] <- ggplot(       dataframe_pcoa,       aes(x = PCo1, y = PCo2, color = group)     ) +       ggtitle(paste(\"scenario\", scenario, scenarios[scenario], \";\", \"alpha =\", params$alpha[[row]])) +       geom_point() +       # coord_fixed(xlim = c(-1, 1), ylim = c(-1, 1)) +       theme_bw() +       scale_color_manual(values = customPalette) +       theme(legend.position = \"none\", plot.title = element_text(hjust = 0.5))     print(pcoa_plot[[scenario]][[row]])   } pcoa_plot_sis <- list() for (row in seq_len(nrow(params))) {   pcoa_plot_sis[[row]] <- ggplot(as.data.frame(PCoA_coord[[1]][[row]]), aes(x = PCo1, y = PCo2)) +     geom_point(aes(color = group_sis[[row]])) +     ggtitle(paste(\"alpha =\", params$alpha[[row]])) +     theme_bw() +      theme(plot.title = element_text(hjust = 0.5))   print(pcoa_plot_sis[[row]])    # ggsave(paste0(\"pcoa_validation_\", params$alpha[row], \".pdf\"), plot = pcoa_plot_sis[[row]], dpi = 300, width = 6, height = 6, units = \"cm\") }"},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"introduction","dir":"Articles > Phyloseq","previous_headings":"","what":"Introduction","title":"caseStudy2-NutrientThreshold-phyloseq","text":"document provides detailed code required replicate case study 2 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 replication study implemented phyloseq. TreeSE package since upgraded use TreeSE data container. general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page","code":""},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"case-study-2-nutrient-concentration-threshold","dir":"Articles > Phyloseq","previous_headings":"","what":"Case study 2: Nutrient concentration threshold","title":"caseStudy2-NutrientThreshold-phyloseq","text":"(Reference: Available energy fluxes drive transition diversity, stability, functional structure microbial communities) aim case study design demonstrate existence nutrient concentration threshold limits beta-diversity communities. fulfill aim, designed gradient environments, well gradient communities.","code":""},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"setup","dir":"Articles > Phyloseq","previous_headings":"Case study 2: Nutrient concentration threshold","what":"Setup","title":"caseStudy2-NutrientThreshold-phyloseq","text":"Load dependencies (batch simulations time-consuming. reduce calculation burden, decreased numbers environments, resources, communities original 10 5, made minor modifications.) Set random seed Set initial shared parameters Define generating function. function generates data frame, row arranged increasing dissimilarity first row. Generate communities Load plotting functions   Initialize shared parameters Generate resource gradients","code":"library(ggplot2) library(vegan) library(reshape2) library(umap) library(miaSim) library(philentropy) library(ape) library(cluster) set.seed(42) n_species <- 5 n_resources <- 5 E <- randomE(n_species, n_resources, mean_consumption = 1, mean_production = 3) growth_rates <- runif(n_species) monod_constant <- matrix(rbeta(n_species*n_resources, 10,10),nrow=n_species, ncol=n_resources) t_store <- 50 n.instances <- 1 # no stochastic process: no need to repeat gradient.df.generator <- function(n_row, n_col, density_row, max_gradient, error_interval){     list_initial <- list()     dissimilarity.gradient <- seq(from = 0, to = max_gradient, length.out = n_row)     for (i in seq_len(n_row)){         print(i)         if (i == 1){             row_temp <- rbeta(n_col, 1, 1/n_col)             col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)             row_temp[col_to_remove] <- 0             list_initial[[i]] <- row_temp         } else {             while (length(list_initial) < i) {                 row_temp <- rbeta(n_col, 1, 1/n_col)                 col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)                 row_temp[col_to_remove] <- 0                 diff_temp <- abs(vegdist(rbind(list_initial[[1]], row_temp), method = \"bray\") - dissimilarity.gradient[i])                 if (diff_temp < error_interval) {                     list_initial[[i]] <- row_temp                 }             }         }     }     dataframe_to_return <- as.data.frame(t(matrix(unlist(list_initial), ncol = n_row)))     return(dataframe_to_return) } n.community <- 5 # you can also try 20 or even 50. density.community <- 0.8 set.seed(42) community.initial.df <- gradient.df.generator(n_row = n.community, n_col = n_species, density_row = density.community, max_gradient = 0.7, error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 dist.community.initial.df <- vegdist(community.initial.df, method = \"bray\") makePlot <- function(out_matrix, title = \"abundance of species by time\", obj = \"species\", y.label = \"x.t\"){     df <- as.data.frame(out_matrix)     dft <-  melt(df, id=\"time\")     names(dft)[2] = obj     names(dft)[3] = y.label     lgd = ncol(df)<= 20     ggplot(dft, aes_string(names(dft)[1], names(dft)[3], col = names(dft)[2])) +         geom_line(show.legend = lgd, lwd=0.5) +         ggtitle(title) +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) } makePlotRes <- function(out_matrix, title = \"quantity of compounds by time\"){     df <- as.data.frame(out_matrix)     dft <-  melt(df, id=\"time\")     names(dft)[2] = \"resources\"     names(dft)[3] = \"S.t\"     lgd = ncol(df)<= 20     ggplot(dft, aes(time, S.t, col = resources)) +         geom_line(show.legend = lgd, lwd=0.5) +         ggtitle(title) +         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14)) } makeHeatmap <-function(matrix.A,                        title = \"Consumption/production matrix\",                        y.label = 'resources',                        x.label = 'species',                        midpoint_color = NULL,                        lowColor = \"red\",                        midColor = \"white\",                        highColor = \"blue\"){     df <- melt(t(matrix.A))     if (is.null(midpoint_color)) {         midpoint_color <- 0     }     names(df)<- c(\"x\", \"y\", \"strength\")     df$y <- factor(df$y, levels=rev(unique(sort(df$y))))     fig <- ggplot(df, aes(x,y,fill=strength)) + geom_tile() + coord_equal() +         theme(axis.title = element_blank()) +         scale_fill_gradient2('strength', low = lowColor, mid = midColor, high = highColor, midpoint = midpoint_color)+         theme_void() + ggtitle(title)      if (ncol(matrix.A)<=10 & nrow(matrix.A)<=10){         fig <- fig + geom_text(aes(label = round(strength, 2)))     } else if (ncol(matrix.A)<=15 & nrow(matrix.A)<=15){         fig <- fig + geom_text(aes(label = round(strength, 1)))     } else {         fig <- fig     }      fig <- fig + labs(x = x.label, y = y.label)+         theme_linedraw() +         theme(plot.title = element_text(hjust = 0.5, size = 14), axis.text.x = element_text(             angle = 90))      if (nrow(matrix.A) >= 20){         # too many species         fig <- fig + theme(             axis.title.y=element_blank(),             axis.text.y=element_blank(),             axis.ticks.y=element_blank(),         )     }     if (ncol(matrix.A) >= 20){         # too many resources         fig <- fig + theme(             axis.title.x=element_blank(),             axis.text.x=element_blank(),             axis.ticks.x=element_blank()         )     }     fig } makeUMAP <- function(matrix, n_neighbors=10, min_dist=0.1, gradient=NULL, gradient_title = 'gradient', group=NULL, group2=NULL){     custom.config = umap.defaults     custom.config$n_neighbors = n_neighbors     custom.config$min_dist = min_dist      df <- as.data.frame(umap(matrix,config = custom.config)$layout)     df$gradient <- gradient      if (is.null(gradient)){         df$gradient <- 1      }     colnames(df) = c('UMAP_2', 'UMAP_1', gradient_title)     if (is.null(group)){         ggplot(df, aes_string('UMAP_2', 'UMAP_1', color=gradient_title)) +             geom_point() +             scale_color_gradient(low=\"blue\", high=\"red\")     } else {         if (is.null(group2)){             ggplot(df, aes_string('UMAP_2', 'UMAP_1', color=gradient_title)) +                 geom_point(aes(color = group)) + theme_bw()         } else {             ggplot(df, aes_string('UMAP_2', 'UMAP_1', color=gradient_title)) +                 geom_point(aes(color = group, shape = group2)) + theme_bw()         }     } }  makeHeatmap(as.matrix(dist.community.initial.df),             title = \"dissimilarity matrix\",             x.label = \"community.1\",             y.label = \"community.2\") makeUMAP(matrix = community.initial.df,          n_neighbors = 5,          group = factor(seq_len(n.community)),          gradient_title = \"community\") crm_params <- list(     n_species = n_species,     n_resources = n_resources,     x0 = NULL,     E = E,     resources = rep(1,n_resources),     monod_constant = monod_constant,     migration_p = 0,     stochastic = FALSE,     t_start = 0,     t_end = 50,     t_step = 1,     t_store = t_store,     growth_rates = growth_rates,     norm=FALSE) resourceConcentration <- 10^seq(0,4,1) # 1 to 10000 n.medium <- 5 density.medium <- 0.8 set.seed(42) resource.initial.df <- gradient.df.generator(n_row = n.medium, n_col = n_resources, density_row = density.medium, max_gradient = 0.7, error_interval = 0.1) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5"},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"test-one-run","dir":"Articles > Phyloseq","previous_headings":"Case study 2: Nutrient concentration threshold","what":"test one run","title":"caseStudy2-NutrientThreshold-phyloseq","text":"Generate simulations store final community community.simulation. step, final relative abundance table basisComposition_prop","code":"crmExample <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     E = E,     x0 = as.numeric(community.initial.df[1,]),     resources = as.numeric(resourceConcentration[3]*resource.initial.df[1,]),     growth_rates = growth_rates,     monod_constant = monod_constant,     stochastic = FALSE,     t_end = 50,     t_step = 1,     t_store = 50,     norm = FALSE) makePlot(crmExample$matrix) makePlotRes(crmExample$resources) set.seed(42) library(miaSim) community.simulation <- list() counter_i <- 1 for (resConc in resourceConcentration) {     for (medium in seq_len(n.medium)){         crm_params$resources <- as.numeric(resource.initial.df[medium,]*resConc)         paramx0 <- as.list(as.data.frame(t(community.initial.df)))         crm_param_iter <- list(x0 = paramx0)         print(paste(\"resConc\", resConc, \"medium\", medium))         crmMoments <- generateSimulations(model = \"simulateConsumerResource\",                                           params_list = crm_params,                                           param_iter = crm_param_iter,                                           n_instances = n.instances,                                           t_end = 50)         community.simulation[[counter_i]] <- as.data.frame(do.call(rbind, lapply(crmMoments, getCommunity)))         counter_i <- counter_i +1     } } basisComposition <- do.call(rbind.data.frame, community.simulation) rm(counter_i, community.simulation) basisComposition_prop <- basisComposition / rowSums(basisComposition)"},{"path":"/articles/phyloseq/caseStudy2-NutrientThreshold.html","id":"visualization","dir":"Articles > Phyloseq","previous_headings":"Case study 2: Nutrient concentration threshold","what":"Visualization","title":"caseStudy2-NutrientThreshold-phyloseq","text":"Make UMAP plots. step, plot result stored umap_CRM_gradient_plot, visualized different facets. part, different visualization results demonstrate (various facets) gradual change communities’ beta diversity. first figure indicates initial community composition important combinations initial available resources. first sub-figure second figure demonstrates oligotrophic (less available nutrients) environment, communities won’t change much given time, whilst last two sub-figures resemble , implying nutrient longer limiting factor beta-diversity community. pattern displayed following “curve plot”. third figure, second fourth community always stays similar, despite initial dissimilarity, indicating might belong one community type. can validated input 20 even 50 n.community case study: communities turns clusters sub-figures. “Saturation curve” average beta-diversity communities community 1 part, ’d like demonstrate average distance communities community 1 reach threshold nutrients, average distance won’t increase along total concentration nutrients. , first define function calculating mean distance first community. Construct function taking umap_CRM_coor df return mean distance Constructing dataframe save results Visualize distance plot","code":"concentration <- as.factor(rep(resourceConcentration, each = n.medium*n.community)) medium <- as.factor(rep(seq_len(n.medium), each = n.community ,times = length(resourceConcentration) )) community <- as.factor(rep(seq_len(n.community), times = length(resourceConcentration)*n.medium))  #plot the result in a UMAP space makeUMAP(basisComposition, group = medium, group2 = concentration, gradient_title = 'Medium') umap_CRM_gradient <- umap(basisComposition_prop) # umap_CRM_gradient <- umap(basisComposition) umap_CRM_coor <- as.data.frame(umap_CRM_gradient$layout) colnames(umap_CRM_coor) <- c(\"UMAP_1\", \"UMAP_2\") umap_CRM_coor <- cbind(umap_CRM_coor, concentration, medium, community) umap_CRM_gradient_plot <- ggplot(umap_CRM_coor,                                  aes(UMAP_1, UMAP_2,                                      # alpha = concentration,                                      color = medium,                                      shape = community)) +     geom_point() +     # scale_shape_manual(values = c(0, 1, 2, 5, 6, 8, 15, 16, 17, 18)) +     scale_shape_manual(values = seq(0, n.community -1 ,1)) +     scale_alpha_manual(values = seq(0.25, 1, 0.75/(length(resourceConcentration)-1))) +     theme_bw() print(umap_CRM_gradient_plot)  print(umap_CRM_gradient_plot + facet_grid(concentration ~ ., labeller = label_both))  print(umap_CRM_gradient_plot + facet_grid(medium ~ concentration, labeller = label_both))  print(umap_CRM_gradient_plot + facet_grid(community ~ concentration, labeller = label_both))  print(umap_CRM_gradient_plot + facet_grid(community ~ medium, labeller = label_both)) average_distance <- function(df, res_conc_type, com_type, method = \"euclidean\"){     sub_df <- df[df$concentration == res_conc_type & df$community == com_type,]     combines <- combn(sub_df$medium, 2)     distances <- NULL     for (i in seq_len(ncol(combines))) {         distances[i] <- dist(sub_df[combines[,i], c(1, 2)])     }     # print(distances)     return(mean(distances)) } # average_distance(umap_CRM_coor, 1, 2) distance_saturation_data <- data.frame(concentration = integer(),                                        community = integer(),                                        average_distance = numeric())  for (res_conc_type in unique(umap_CRM_coor$concentration)){     for (com_type in unique(umap_CRM_coor$community)){         ave_dist <- average_distance(umap_CRM_coor, res_conc_type, com_type)         distance_saturation_data[nrow(distance_saturation_data)+1,] <-             c(res_conc_type, com_type, ave_dist)     } } # View(distance_saturation_data) distance_saturation_data$average_distance <- as.numeric(distance_saturation_data$average_distance) distance_saturation_data$concentration <- as.factor(distance_saturation_data$concentration) distance_saturation_data$community <- as.factor(distance_saturation_data$community) distance_saturation_data_plot <- ggplot(distance_saturation_data,                                  aes(concentration, average_distance,                                      color = community,                                      group = community)) +     geom_line() + geom_point() +     scale_shape_manual(values = c(0, 1, 2, 5, 6, 8, 15, 16, 17, 18)) +     labs(x = \"resource concentration\", y = \"average distance between communities in UMAP\") +     theme_bw() print(distance_saturation_data_plot) # ggsave(paste0(\"CRMgradient_distance_curve_mod.pdf\"), plot = distance_saturation_data_plot , dpi = 300, width = 12, height = 10, units = \"cm\", scale = 2)"},{"path":"/articles/phyloseq/caseStudy3-EnvironmentalComplexity.html","id":"introduction","dir":"Articles > Phyloseq","previous_headings":"","what":"Introduction","title":"caseStudy3-EnvComplexity-phyloseq","text":"document provides detailed code required replicate case study 3 discussed Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 replication study implemented phyloseq. TreeSE package since upgraded use TreeSE data container. general instructions examples using miaSim package tools, see vignette. miaSim implements tools microbiome data simulation based different ecological modeling assumptions. can used simulate species abundance matrices, including time series. detailed function documentation, see function reference page","code":""},{"path":"/articles/phyloseq/caseStudy3-EnvironmentalComplexity.html","id":"case-study-3-environmental-complexity-impacts-on-different-communities","dir":"Articles > Phyloseq","previous_headings":"","what":"Case study 3: Environmental complexity impacts on different communities","title":"caseStudy3-EnvComplexity-phyloseq","text":"(Reference: Non-additive microbial community responses environmental complexity) aim case study recalculate patterns shown existing publication reference. specifically, left part Figure 2. case study, consumer-resource model used. number species 3 distinct communities varied communities named number species (.e. com13, com3, com4). community, floor different numbers carbon resources (nutrients) set 1, 2, 4, 8, 16, 32. original experiment, value OD600 selected y-axis represent growth yield. simulations, however, total number organisms(number individuals) used reflect growth yield.","code":""},{"path":"/articles/phyloseq/caseStudy3-EnvironmentalComplexity.html","id":"setup","dir":"Articles > Phyloseq","previous_headings":"Case study 3: Environmental complexity impacts on different communities","what":"Setup","title":"caseStudy3-EnvComplexity-phyloseq","text":"Load dependencies Set random seed Set number repeats Initial output dataframes store data Generating function. function generates data frame, row arranged increasing dissimilarity first row. Load parameters used Pacheco et al., initialized community data frame. Note step, value range theta extended. Loop different combinations (number species X theta X number repetations X number resources)","code":"library(ggplot2) library(miaSim) library(vegan) library(ggplot2) library(reshape2) set.seed(42) n_rep <- 50 result_df <- data.frame(     n_species = integer(),     theta = numeric(),     i = integer(),     n_resources = integer(),     value = numeric() )  result_df2 <- data.frame(   matrix(NA, nrow = 0, ncol = 13, dimnames = list(NULL, paste0(\"sp\", seq_len(13)))) )  sorensen_df <- data.frame(     n_species = integer(),     theta = numeric(),     rho_mean = numeric(),     rho_sd = numeric() ) gradient_df_generator <- function(n_row, n_col, density_row, max_gradient, error_interval){   list_initial <- list()   dissimilarity.gradient <- seq(from = 0, to = max_gradient, length.out = n_row)   for (i in seq_len(n_row)){     print(i)     if (i == 1){       row_temp <- rbeta(n_col, 1, n_col)       col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)       row_temp[col_to_remove] <- 0       list_initial[[i]] <- row_temp     } else {       while (length(list_initial) < i) {         row_temp <- rbeta(n_col, 1, n_col)         col_to_remove <- sample(x = seq_len(n_col), size = n_col-n_col*density_row)         row_temp[col_to_remove] <- 0         diff_temp <- abs(vegdist(rbind(list_initial[[1]], row_temp), method = \"bray\") - dissimilarity.gradient[i])         if (diff_temp < error_interval) {           list_initial[[i]] <- row_temp         }       }     }   }   dataframe_to_return <- as.data.frame(t(matrix(unlist(list_initial), ncol = n_row)))   return(dataframe_to_return) } n_species_types <- c(13, 3, 4) theta_types <- c(1, 0.75, 0.5, 0.25, 0.1, 0.05) n_resources_types <- c(1,2,4,8,16,32)  community.initial.df <- as.list(   lapply(n_species_types,           gradient_df_generator,           n_row = n_rep,           density_row = 1,          max_gradient = 0.7,          error_interval = 0.15) ) ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 ## [1] 6 ## [1] 7 ## [1] 8 ## [1] 9 ## [1] 10 ## [1] 11 ## [1] 12 ## [1] 13 ## [1] 14 ## [1] 15 ## [1] 16 ## [1] 17 ## [1] 18 ## [1] 19 ## [1] 20 ## [1] 21 ## [1] 22 ## [1] 23 ## [1] 24 ## [1] 25 ## [1] 26 ## [1] 27 ## [1] 28 ## [1] 29 ## [1] 30 ## [1] 31 ## [1] 32 ## [1] 33 ## [1] 34 ## [1] 35 ## [1] 36 ## [1] 37 ## [1] 38 ## [1] 39 ## [1] 40 ## [1] 41 ## [1] 42 ## [1] 43 ## [1] 44 ## [1] 45 ## [1] 46 ## [1] 47 ## [1] 48 ## [1] 49 ## [1] 50 ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 ## [1] 6 ## [1] 7 ## [1] 8 ## [1] 9 ## [1] 10 ## [1] 11 ## [1] 12 ## [1] 13 ## [1] 14 ## [1] 15 ## [1] 16 ## [1] 17 ## [1] 18 ## [1] 19 ## [1] 20 ## [1] 21 ## [1] 22 ## [1] 23 ## [1] 24 ## [1] 25 ## [1] 26 ## [1] 27 ## [1] 28 ## [1] 29 ## [1] 30 ## [1] 31 ## [1] 32 ## [1] 33 ## [1] 34 ## [1] 35 ## [1] 36 ## [1] 37 ## [1] 38 ## [1] 39 ## [1] 40 ## [1] 41 ## [1] 42 ## [1] 43 ## [1] 44 ## [1] 45 ## [1] 46 ## [1] 47 ## [1] 48 ## [1] 49 ## [1] 50 ## [1] 1 ## [1] 2 ## [1] 3 ## [1] 4 ## [1] 5 ## [1] 6 ## [1] 7 ## [1] 8 ## [1] 9 ## [1] 10 ## [1] 11 ## [1] 12 ## [1] 13 ## [1] 14 ## [1] 15 ## [1] 16 ## [1] 17 ## [1] 18 ## [1] 19 ## [1] 20 ## [1] 21 ## [1] 22 ## [1] 23 ## [1] 24 ## [1] 25 ## [1] 26 ## [1] 27 ## [1] 28 ## [1] 29 ## [1] 30 ## [1] 31 ## [1] 32 ## [1] 33 ## [1] 34 ## [1] 35 ## [1] 36 ## [1] 37 ## [1] 38 ## [1] 39 ## [1] 40 ## [1] 41 ## [1] 42 ## [1] 43 ## [1] 44 ## [1] 45 ## [1] 46 ## [1] 47 ## [1] 48 ## [1] 49 ## [1] 50 for (n_species in n_species_types){     for (theta in theta_types) {         sorensen <- c()         for (i in seq_len(n_rep)){             for (n_resources in n_resources_types) {                 ### generate E ####                 Etest <- randomE(n_species = n_species,                                  n_resources = n_resources,                                  mean_consumption = theta*n_resources,                                  exact = TRUE)                  ### calculate rho ####                 if (n_resources == max(n_resources_types)){                     Etest_pos <- Etest                     Etest_pos[Etest_pos<0] <- 0                     for (j in seq_len(n_species - 1)){                         for (k in 2:n_species){                             sorensen <- c(sorensen,                                           sum(apply(Etest_pos[c(j,k),], 2, min)))                         }                     }                 }                  if (n_resources > 1){                     Priority <- t(apply(matrix(sample(n_species * n_resources), nrow = n_species), 1, order))                     Priority <- (Etest > 0) * Priority                 } else {                     Priority <- NULL                 }                  print(paste0(\"n_species=\",n_species, \" theta=\",theta, \" i=\", i, \" n_resources=\", n_resources))                 x0temp <- as.numeric(community.initial.df[[match(n_species, n_species_types)]][i,])                 x0temp <- 10*x0temp/sum(x0temp)                 CRMtest <- simulateConsumerResource(n_species = n_species,                                                     n_resources = n_resources,                                                     x0 = x0temp, #rep(10, n_species),                                                     resources = rep(100, n_resources),                                                     E = Etest,                                                     # trophic_priority = Priority,                                                     stochastic = TRUE,                                                     t_end = 1000,                                                     t_step = 1,                                                     t_store = 1000)                 CRMspecies <- getCommunity(CRMtest)                 CRMspeciesTotal <- sum(CRMspecies)                 result_df[nrow(result_df)+1,] <- c(n_species, theta, i, n_resources, CRMspeciesTotal)                 result_df2[nrow(result_df2)+1,] <- c(CRMspecies, rep(NA, 13-length(CRMspecies)))                 # makePlotRes(CRMtest$resources)                 # makePlot(CRMtest$matrix)             }         }         rho_mean <- mean(sorensen)         rho_sd <- var(sorensen)         sorensen_df[nrow(sorensen_df)+1, ] <- c(n_species, theta, rho_mean, rho_sd)     } } p_fig2_result_df <- ggplot(result_df, aes(x = n_resources, y = value, group = n_resources)) +     geom_boxplot(outlier.shape = NA) +     geom_jitter(alpha = 0.2, width = 0.2) +     facet_grid(. ~ factor(n_species, levels = n_species_types)) +     theme_bw() +     scale_x_continuous(trans = \"log2\", breaks = n_resources_types) +     xlab(\"number of resources\") +     ylab(\"growth yield (number of individuals)\") p_fig2_result_df"},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Yagmur Simsek. Maintainer, author. Karoline Faust. Author. Yu Gao. Author. Emma Gheysen. Author. Daniel Rios Garza. Author. Tuomas Borman. Author. Leo Lahti. Author.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"(C) Yu Gao et al. miaSim: R/Bioconductor package easily simulate microbial community dynamics. Methods Ecology Evolution (2023). Version 1.9.1 Package URL: microbiome.github.io/miaSim","code":"@Article{,   title = {miaSim: an R/Bioconductor package to easily simulate microbial community dynamics},   journal = {Methods in Ecology and Evolution},   year = {2023},   doi = {10.1111/2041-210X.14129},   author = {Yu Gao and Yağmur Şimşek and Emma Gheysen and Tuomas Borman and Yi Li and Leo Lahti and Karoline Faust and Daniel Garza},   url = {microbiome.github.io/miaSim},   note = {Version 1.9.1}, }"},{"path":[]},{"path":"/index.html","id":"miasim","dir":"","previous_headings":"","what":"miaSim","title":"Microbiome Data Simulation","text":"R/Bioconductor package provides tools simulate (longitudinal) time series data popular models microbial ecology. homepage provides tutorials references implemented models: Self-organised instability (SOI) Hubbell’s neutral model generalized Lotka-Volterra (gLV) Ricker model (discrete gLV) Stochastic logistic model Consumer-resource model methods can used silico studies microbial community dynamics multi-omic host-microbiome interactions. miaSim package supports Bioconductor multi-assay data science framework multi-omic data integration time series analysis, utilizes (Tree)SummarizedExperiment data container. Getting started.","code":""},{"path":"/index.html","id":"miasimshiny","dir":"","previous_headings":"miaSim","what":"miaSimShiny","title":"Microbiome Data Simulation","text":"accompanying miaSimShiny package allows users explore parameter space models real-time intuitive graphical interface. can experiment miaSimShiny online.","code":""},{"path":"/index.html","id":"contributions-and-acknowledgments","dir":"","previous_headings":"miaSim","what":"Contributions and acknowledgments","title":"Microbiome Data Simulation","text":"can find us online Gitter. Contributions welcome issues pull requests development site. follow git flow kind approach. Development version done main branch merged release release. (https://guides.github.com/introduction/flow/) grateful contributors. research received funding Horizon 2020 Programme European Union within FindingPheno project grant agreement 952914. Research Council Finland (grant 330887)","code":""},{"path":"/index.html","id":"citing-the-package","dir":"","previous_headings":"miaSim","what":"Citing the package","title":"Microbiome Data Simulation","text":"Kindly cite work follows: Gao et al. (2023). Methods Ecology Evolution. DOI: 10.1111/2041-210X.14129 citation details, see R command citation(\"miaSim\"). Code conduct Please note project released Bioconductor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"/reference/dot-applyInterType.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate pairs of interactions according to interaction types — .applyInterType","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"helper function used combination .getInteractions()","code":""},{"path":"/reference/dot-applyInterType.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"","code":".applyInterType(I, pair, interType)"},{"path":"/reference/dot-applyInterType.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"Matrix: defining interaction pair species pair Numeric: vector length 2, indicating 2 focusing species process applying interaction types interType Character: one 'mutualism', 'commensalism', 'parasitism', 'amensalism', 'competition'. Defining interaction type","code":""},{"path":"/reference/dot-applyInterType.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate pairs of interactions according to interaction types — .applyInterType","text":"matrix interaction types one pair changed","code":""},{"path":"/reference/dot-estimateAFromSimulations.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"generate matrix comparisons simulations one absent species simulation complete species (leave-one-)","code":""},{"path":"/reference/dot-estimateAFromSimulations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"","code":".estimateAFromSimulations(   simulations,   simulations2,   n_instances = 1,   t_end = NULL,   scale_off_diagonal = 0.1,   diagonal = -0.5,   connectance = 0.2 )"},{"path":"/reference/dot-estimateAFromSimulations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"simulations list simulation(s) complete species simulations2 list simulation(s), one absent species n_instances Integer: number instances generate (default: n_instances = 1) t_end Numeric: end time simulation. identical t_end params_list, overwrite t_end simulation (default: t_end = 1000) scale_off_diagonal Numeric: scale -diagonal elements compared diagonal. parameter function randomA. (default: scale_off_diagonal = 0.1) diagonal Values defining strength self-interactions. Input can number (applied species) vector length n_species. Positive self-interaction values lead exponential growth. parameter function randomA. (default: diagonal = -0.5) connectance Numeric frequency inter-species interactions. .e. proportion non-zero -diagonal terms. interval 0 <= connectance <= 1. parameter function randomA. (default: connectance = 0.2)","code":""},{"path":"/reference/dot-estimateAFromSimulations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the interspecies interaction matrix A using leave-one-out method — .estimateAFromSimulations","text":"matrix dimensions (n_species x n_species) n_species equals number elements simulations2","code":""},{"path":"/reference/dot-eventTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"generate a vector of times when events is happening — .eventTimes","title":"generate a vector of times when events is happening — .eventTimes","text":"generate vector times events happening","code":""},{"path":"/reference/dot-eventTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generate a vector of times when events is happening — .eventTimes","text":"","code":".eventTimes(t_events = NULL, t_duration = NULL, t_end = 1000, ...)"},{"path":"/reference/dot-eventTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generate a vector of times when events is happening — .eventTimes","text":"t_events, t_duration Numeric: vector starting time duration events t_end Numeric: end time simulation ... : additional parameters pass simulationTimes, including t_start, t_step, t_store.","code":""},{"path":"/reference/dot-eventTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generate a vector of times when events is happening — .eventTimes","text":"vector time points simulation","code":""},{"path":"/reference/dot-eventTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generate a vector of times when events is happening — .eventTimes","text":"","code":"tEvent <- .eventTimes(     t_events = c(10, 50, 100),     t_duration = c(1, 2, 3),     t_end = 100,     t_store = 100,     t_step = 1 )"},{"path":"/reference/dot-getInteractions.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate interactions according to five types of interactions and their\nweights — .getInteractions","title":"Generate interactions according to five types of interactions and their\nweights — .getInteractions","text":"Generate interactions according five types interactions weights","code":""},{"path":"/reference/dot-getInteractions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate interactions according to five types of interactions and their\nweights — .getInteractions","text":"","code":".getInteractions(n_species, weights, connectance)"},{"path":"/reference/dot-getInteractions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate interactions according to five types of interactions and their\nweights — .getInteractions","text":"n_species Integer: defining dimension matrix interaction weights Numeric: defining weights mutualism, commensalism, parasitism, amensalism, competition interspecies interactions. connectance Numeric: defining density interaction network. Ranging 0 1","code":""},{"path":"/reference/dot-getInteractions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate interactions according to five types of interactions and their\nweights — .getInteractions","text":"matrix interactions interactions changed according weights connectance.","code":""},{"path":"/reference/dot-isPosInt.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether a number is a positive integer — .isPosInt","title":"Check whether a number is a positive integer — .isPosInt","text":"Check whether number positive integer","code":""},{"path":"/reference/dot-isPosInt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether a number is a positive integer — .isPosInt","text":"","code":".isPosInt(x, tol = .Machine$double.eps^0.5)"},{"path":"/reference/dot-isPosInt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether a number is a positive integer — .isPosInt","text":"x Numeric number test tol Numeric tolerance detection","code":""},{"path":"/reference/dot-isPosInt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether a number is a positive integer — .isPosInt","text":"logical value: whether number positive integer.","code":""},{"path":"/reference/dot-rdirichlet.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate dirichlet random deviates — .rdirichlet","title":"Generate dirichlet random deviates — .rdirichlet","text":"Generate dirichlet random deviates","code":""},{"path":"/reference/dot-rdirichlet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate dirichlet random deviates — .rdirichlet","text":"","code":".rdirichlet(n, alpha)"},{"path":"/reference/dot-rdirichlet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate dirichlet random deviates — .rdirichlet","text":"n Number random vectors generate. alpha Vector containing shape parameters.","code":""},{"path":"/reference/dot-rdirichlet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate dirichlet random deviates — .rdirichlet","text":"vector containing Dirichlet density","code":""},{"path":"/reference/dot-rdirichlet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate dirichlet random deviates — .rdirichlet","text":"","code":"dirichletExample <- .rdirichlet(1, c(1, 2, 3))"},{"path":"/reference/dot-replaceByZero.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace one element with zero in a list — .replaceByZero","title":"Replace one element with zero in a list — .replaceByZero","text":"list contains m elements, lengths element must m, . function intended generate list x0 (initial community) one missing species, prepare parameter simulations_compare estimateAFromSimulations.","code":""},{"path":"/reference/dot-replaceByZero.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace one element with zero in a list — .replaceByZero","text":"","code":".replaceByZero(input_list)"},{"path":"/reference/dot-replaceByZero.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace one element with zero in a list — .replaceByZero","text":"input_list list containing m elements, lengths element must m, .","code":""},{"path":"/reference/dot-replaceByZero.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace one element with zero in a list — .replaceByZero","text":"list dimension input_list, 0 specific positions elements list.","code":""},{"path":"/reference/dot-simulationTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate simulation times and the indices of time points to return\nin simulation functions. — .simulationTimes","title":"Generate simulation times and the indices of time points to return\nin simulation functions. — .simulationTimes","text":"Generate simulation times indices time points return simulation functions.","code":""},{"path":"/reference/dot-simulationTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate simulation times and the indices of time points to return\nin simulation functions. — .simulationTimes","text":"","code":".simulationTimes(t_start = 0, t_end = 1000, t_step = 0.1, t_store = 1000)"},{"path":"/reference/dot-simulationTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate simulation times and the indices of time points to return\nin simulation functions. — .simulationTimes","text":"t_start Numeric scalar indicating initial time simulation. (default: t_start = 0) t_end Numeric scalar indicating final time simulation (default: t_end = 1000) t_step Numeric scalar indicating interval simulation steps (default: t_step = 0.1) t_store Integer scalar indicating number evenly distributed time points keep (default: t_store = 100)","code":""},{"path":"/reference/dot-simulationTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate simulation times and the indices of time points to return\nin simulation functions. — .simulationTimes","text":"lists containing simulation times (t_sys) indices keep.","code":""},{"path":"/reference/dot-simulationTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate simulation times and the indices of time points to return\nin simulation functions. — .simulationTimes","text":"","code":"Time <- .simulationTimes(     t_start = 0, t_end = 100, t_step = 0.5,     t_store = 100 ) DefaultTime <- .simulationTimes(t_end = 1000)"},{"path":"/reference/generateSimulations.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate multiple simulations and store them in a list — generateSimulations","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"function useful generating simulations different parameters simulating multiple instances evaluate stochasticity therein.","code":""},{"path":"/reference/generateSimulations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"","code":"generateSimulations(   model,   params_list,   param_iter = NULL,   n_instances = 1,   t_end = 1000 )"},{"path":"/reference/generateSimulations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"model Character: name model use, must one \"simulateConsumerResource\", \"simulateGLV\", \"simulateHubbellRates\", \"simulateStochasticLogistic\" params_list List: list containing parameters used aforementionned called model param_iter List parameters overwrite different simulations. NULL, simulate different instances using set parameters. (default: param_iter = NULL) n_instances Integer: number instances generate (default: n_instances = 1) t_end Numeric: end time simulation. identical t_end params_list, overwrite t_end simulation (default: t_end = 1000)","code":""},{"path":"/reference/generateSimulations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"list containing multiple simulating results","code":""},{"path":"/reference/generateSimulations.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate multiple simulations and store them in a list — generateSimulations","text":"","code":"params <- list(     n_species = 10,     n_resources = 5,     E = randomE(         n_species = 10, n_resources = 5,         mean_consumption = 1, mean_production = 3     ),     x0 = rep(0.001, 10),     resources = rep(1000, 5),     monod_constant = matrix(rbeta(10 * 5, 10, 10), nrow = 10, ncol = 5),     inflow_rate = .5,     outflow_rate = .5,     migration_p = 0,     stochastic = TRUE,     t_start = 0,     t_end = 20,     t_store = 100,     growth_rates = runif(10),     norm = FALSE )  # Recommended standard way to generate a set of n simulations (n=2 here) from a given model # simulations <- lapply(seq_len(2), function (i) {do.call(simulateConsumerResource, params)})"},{"path":"/reference/powerlawA.html","id":null,"dir":"Reference","previous_headings":"","what":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"N Interspecific Interaction matrix values drawn normal distribution H interaction strength heterogeneity drawn power-law distribution parameter alpha, G adjacency matrix -degree reflects heterogeneity powerlaw. scaling factor s may used constrain values interaction matrix within desired range. Diagonal elements defined parameter d.","code":""},{"path":"/reference/powerlawA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"","code":"powerlawA(n_species, alpha = 3, stdev = 1, s = 0.1, d = -1, symmetric = FALSE)"},{"path":"/reference/powerlawA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"n_species integer number species alpha numeric power-law distribution parameter. > 1. (default: alpha = 3.0) Larger values give lower interaction strength heterogeneity, whereas values closer 1 give strong heterogeneity interaction strengths species. words, values alpha close 1 give Strongly Interacting Species (SIS). stdev numeric standard deviation parameter normal distribution mean 0 elements nominal interspecific interaction matrix N drawn. (default: stdev = 1) s numeric scaling parameter final global interaction matrix multiplied. (default: s = 0.1) d numeric diagonal values, indicating self-interactions (use negative values stability). (default: s = 1.0) symmetric logical scalar returning symmetric interaction matrix (default: symmetric=FALSE)","code":""},{"path":"/reference/powerlawA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"interaction matrix dimensions (n_species x n_species)","code":""},{"path":"/reference/powerlawA.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"Gibson TE, Bashan , Cao HT, Weiss ST, Liu YY (2016) Origins Control Community Types Human Microbiome. PLOS Computational Biology 12(2): e1004688. https://doi.org/10.1371/journal.pcbi.1004688","code":""},{"path":"/reference/powerlawA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Interaction matrix with Power-Law network adjacency matrix — powerlawA","text":"","code":"# Low interaction heterogeneity A_low <- powerlawA(n_species = 10, alpha = 3) # Strong interaction heterogeneity A_strong <- powerlawA(n_species = 10, alpha = 1.01)"},{"path":"/reference/randomA.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate random interaction matrix for GLV model — randomA","title":"Generate random interaction matrix for GLV model — randomA","text":"Generates random interaction matrix Generalized Lotka-Volterra (GLV) model.","code":""},{"path":"/reference/randomA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate random interaction matrix for GLV model — randomA","text":"","code":"randomA(   n_species,   names_species = NULL,   diagonal = -0.5,   connectance = 0.2,   scale_off_diagonal = 0.1,   mutualism = 1,   commensalism = 1,   parasitism = 1,   amensalism = 1,   competition = 1,   interactions = NULL,   symmetric = FALSE,   list_A = NULL )"},{"path":"/reference/randomA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate random interaction matrix for GLV model — randomA","text":"n_species Integer: number species names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) diagonal Values defining strength self-interactions. Input can number (applied species) vector length n_species. Positive self-interaction values lead exponential growth. (default: diagonal = -0.5) connectance Numeric frequency inter-species interactions. .e. proportion non-zero -diagonal terms. interval 0 <= connectance <= 1. (default: connectance = 0.2) scale_off_diagonal Numeric: scale -diagonal elements compared diagonal. (default: scale_off_diagonal = 0.1) mutualism Numeric: relative proportion interactions terms consistent mutualism (positive <-> positive) (default: mutualism = 1) commensalism Numeric: relative proportion interactions terms consistent commensalism (positive <-> neutral) (default: commensalism = 1) parasitism Numeric: relative proportion interactions terms consistent parasitism (positive <-> negative) (default: parasitism = 1) amensalism Numeric: relative proportion interactions terms consistent amensalism (neutral <-> negative) (default: amensalism = 1) competition Numeric: relative proportion interactions terms consistent competition (negative <-> negative) (default: competition = 1) interactions Numeric: values n_species^2 pairwise interaction strengths. Diagonal terms replaced 'diagonal' parameter NULL, interactions drawn runif(n_species^2, min=0, max=abs(diagonal)). Negative values first converted positive signs defined relative weights biological interactions (.e. mutualism, commensalism, parasitism, amensalism, competition) (default: interactions = NULL) symmetric Logical: whether strength mutualistic competitive interactions symmetric. implemented overwrite half matrix, proportions interactions might deviate expectations. (default: symmetric=FALSE) list_A List: list matrices generated randomA. Used support different groups interactions. NULL (default), group considered. Otherwise given list matrices overwrite values around diagonal. (default: list_A = NULL)","code":""},{"path":"/reference/randomA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate random interaction matrix for GLV model — randomA","text":"randomA returns matrix dimensions (n_species x n_species)","code":""},{"path":"/reference/randomA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate random interaction matrix for GLV model — randomA","text":"","code":"dense_A <- randomA(     n_species = 10,     scale_off_diagonal = 1,     diagonal = -1.0,     connectance = 0.9 )  sparse_A <- randomA(     n_species = 10,     diagonal = -1.0,     connectance = 0.09 )  user_interactions <- rbeta(n = 10^2, .5, .5) user_A <- randomA(n_species = 10, interactions = user_interactions)  competitive_A <- randomA(     n_species = 10,     mutualism = 0,     commensalism = 0,     parasitism = 0,     amensalism = 0,     competition = 1,     connectance = 1,     scale_off_diagonal = 1 )  parasitism_A <- randomA(     n_species = 10,     mutualism = 0,     commensalism = 0,     parasitism = 1,     amensalism = 0,     competition = 0,     connectance = 1,     scale_off_diagonal = 1,     symmetric = TRUE )  list_A <- list(dense_A, sparse_A, competitive_A, parasitism_A) groupA <- randomA(n_species = 40, list_A = list_A)"},{"path":"/reference/randomE.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate random efficiency matrix — randomE","title":"Generate random efficiency matrix — randomE","text":"Generate random efficiency matrix consumer resource model Dirichlet distribution, positive efficiencies indicate consumption resources, whilst negatives indicate species produce resource.","code":""},{"path":"/reference/randomE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate random efficiency matrix — randomE","text":"","code":"randomE(   n_species,   n_resources,   names_species = NULL,   names_resources = NULL,   mean_consumption = n_resources/4,   mean_production = n_resources/6,   maintenance = 0.5,   trophic_levels = NULL,   trophic_preferences = NULL,   exact = FALSE )"},{"path":"/reference/randomE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate random efficiency matrix — randomE","text":"n_species Integer: number species n_resources Integer: number resources names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) names_resources Character: names resources. NULL, paste0(\"res\", seq_len(n_resources)) used. mean_consumption Numeric: mean number resources consumed species drawn poisson distribution (default: mean_consumption = n_resources/4) mean_production Numeric: mean number resources produced species drawn poisson distribution (default: mean_production = n_resources/6) maintenance Numeric: proportion resources converted products 0~1 proportion resources used maintain living microorganisms. 0 means resources used reproduction microorganisms, 1 means resources used maintain living organisms resources left growth(reproduction). (default: maintenance = 0.5) trophic_levels Integer: number species microbial trophic levels. NULL, default, microbial trophic levels considered. (default: trophic_levels = NULL) trophic_preferences List: preferred resources productions trophic level. Positive values indicate consumption resources, whilst negatives indicate species produce resource. exact Logical: whether set number consumption/production exact mean_consumption/mean_production set using Poisson distribution. (default: exact = FALSE) length(trophic_preferences) smaller length(trophic_levels), NULL values appended lower trophic levels. NULL, default, consumption preference defined randomly. (default: trophic_preferences = NULL)","code":""},{"path":"/reference/randomE.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate random efficiency matrix — randomE","text":"randomE returns matrix E dimensions (n_species x n_resources), row represents species.","code":""},{"path":"/reference/randomE.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate random efficiency matrix — randomE","text":"","code":"# example with minimum parameters ExampleEfficiencyMatrix <- randomE(n_species = 5, n_resources = 12)  # examples with specific parameters ExampleEfficiencyMatrix <- randomE(     n_species = 3, n_resources = 6,     names_species = letters[1:3],     names_resources = paste0(\"res\", LETTERS[1:6]),     mean_consumption = 3, mean_production = 1 ) ExampleEfficiencyMatrix <- randomE(     n_species = 3, n_resources = 6,     maintenance = 0.4 ) ExampleEfficiencyMatrix <- randomE(     n_species = 3, n_resources = 6,     mean_consumption = 3, mean_production = 1, maintenance = 0.4 )  # examples with microbial trophic levels ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1),     trophic_preferences = list(         c(rep(1, 5), rep(-1, 5), rep(0, 5)),         c(rep(0, 5), rep(1, 5), rep(-1, 5)),         c(rep(0, 10), rep(1, 5))     ) ) ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1),     trophic_preferences = list(c(rep(1, 5), rep(-1, 5), rep(0, 5)), NULL, NULL) ) ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1) )"},{"path":"/reference/rdirichlet.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate dirichlet random deviates — rdirichlet","title":"Generate dirichlet random deviates — rdirichlet","text":"Generate dirichlet random deviates","code":""},{"path":"/reference/rdirichlet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate dirichlet random deviates — rdirichlet","text":"","code":"rdirichlet(n, alpha)"},{"path":"/reference/rdirichlet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate dirichlet random deviates — rdirichlet","text":"n Number random vectors generate. alpha Vector containing shape parameters.","code":""},{"path":"/reference/rdirichlet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate dirichlet random deviates — rdirichlet","text":"vector containing Dirichlet density","code":""},{"path":"/reference/rdirichlet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate dirichlet random deviates — rdirichlet","text":"","code":"dirichletExample <- rdirichlet(1, c(1, 2, 3))"},{"path":"/reference/simulateConsumerResource.html","id":null,"dir":"Reference","previous_headings":"","what":"Consumer-resource model simulation — simulateConsumerResource","title":"Consumer-resource model simulation — simulateConsumerResource","text":"Simulates time series consumer-resource model.","code":""},{"path":"/reference/simulateConsumerResource.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Consumer-resource model simulation — simulateConsumerResource","text":"","code":"simulateConsumerResource(   n_species,   n_resources,   names_species = NULL,   names_resources = NULL,   E = NULL,   x0 = NULL,   resources = NULL,   resources_dilution = NULL,   growth_rates = NULL,   monod_constant = NULL,   sigma_drift = 0.001,   sigma_epoch = 0.1,   sigma_external = 0.3,   sigma_migration = 0.01,   epoch_p = 0.001,   t_external_events = NULL,   t_external_durations = NULL,   stochastic = FALSE,   migration_p = 0.01,   metacommunity_probability = NULL,   error_variance = 0,   norm = FALSE,   t_end = 1000,   trophic_priority = NULL,   inflow_rate = 0,   outflow_rate = 0,   volume = 1000,   ... )"},{"path":"/reference/simulateConsumerResource.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Consumer-resource model simulation — simulateConsumerResource","text":"n_species Integer: number species n_resources Integer: number resources names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) names_resources Character: names resources. NULL, paste0(\"res\", seq_len(n_resources)) used. E matrix: matrix efficiency. matrix defining efficiency resource--biomass conversion (positive values) relative conversion metabolic -products (negative values). NULL, randomE(n_species, n_resources) used. (default: E = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0.1, max = 10) used. (default: x0 = NULL) resources Numeric: initial concentrations resources. NULL, runif(n = n_resources, min = 1, max = 100) used. (default: resources = NULL) resources_dilution Numeric: concentrations resources continuous inflow (applicable inflow_rate > 0). NULL, resources used. (default: resources_dilution = NULL) growth_rates Numeric: vector maximum growth rates(mu) species. NULL, rep(1, n_species) used. (default: growth_rates = NULL) monod_constant matrix: constant additive monod growth n_species consuming n_resources. NULL, matrix(rgamma(n = n_species*n_resources, shape = 50*max(resources), rate = 1), nrow = n_species) used. (default: monod_constant = NULL) sigma_drift Numeric: standard deviation normally distributed noise applied time step (t_step) (default: sigma_drift = 0.001) sigma_epoch Numeric: standard deviation normally distributed noise applied random periods community composition frequency defined epoch_p parameter (default: sigma_epoch = 0.1) sigma_external Numeric: standard deviation normally distributed noise applied user-defined external events/disturbances (default: sigma_external = 0.3) sigma_migration Numeric: standard deviation normally distributed variable defines intensity migration time step (t_step) (default: sigma_migration = 0.01) epoch_p Numeric: probability/frequency random periodic changes introduced community composition (default: epoch_p = 0.001) t_external_events Numeric: starting time points defined external events introduce random changes community composition (default: t_external_events = NULL) t_external_durations Numeric: respective duration external events defined 't_external_events' (times) sigma_external (std). (default: t_external_durations = NULL) stochastic Logical: whether introduce noise simulation. False, sigma_drift, sigma_epoch, sigma_external ignored. (default: stochastic = FALSE) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) trophic_priority Matrix: matrix defining orders resources consumed species. NULL, default, feature turned , species consume resources simultaneously grow. dimension identical matrix E. (default: trophic_priority = NULL) inflow_rate, outflow_rate Numeric: inflow outflow rate culture process. default, inflow_rate outflow_rate 0, indicating batch culture process. setting equally larger 0, can simulate continuous culture(e.g. chemostat). volume Numeric: volume continuous cultivation. parameter important simulations inflow_rate outflow_rate 0. (default: volume = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateConsumerResource.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Consumer-resource model simulation — simulateConsumerResource","text":"TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateConsumerResource.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Consumer-resource model simulation — simulateConsumerResource","text":"","code":"n_species <- 2 n_resources <- 4 tse <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources )  if (FALSE) { # example with user-defined values (names_species, names_resources, E, x0, # resources, growth_rates, error_variance, t_end, t_step)  ExampleE <- randomE(     n_species = n_species, n_resources = n_resources,     mean_consumption = 3, mean_production = 1, maintenance = 0.4 ) ExampleResources <- rep(100, n_resources) tse1 <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources, names_species = letters[seq_len(n_species)],     names_resources = paste0(\"res\", LETTERS[seq_len(n_resources)]), E = ExampleE,     x0 = rep(0.001, n_species), resources = ExampleResources,     growth_rates = runif(n_species),     error_variance = 0.01,     t_end = 5000,     t_step = 1 )  # example with trophic levels n_species <- 10 n_resources <- 15 ExampleEfficiencyMatrix <- randomE(     n_species = 10, n_resources = 15,     trophic_levels = c(6, 3, 1),     trophic_preferences = list(         c(rep(1, 5), rep(-1, 5), rep(0, 5)),         c(rep(0, 5), rep(1, 5), rep(-1, 5)),         c(rep(0, 10), rep(1, 5))     ) )  ExampleResources <- c(rep(500, 5), rep(200, 5), rep(50, 5)) tse2 <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     names_species = letters[1:n_species],     names_resources = paste0(         \"res\", LETTERS[1:n_resources]     ),     E = ExampleEfficiencyMatrix,     x0 = rep(0.001, n_species),     resources = ExampleResources,     growth_rates = rep(1, n_species),     # error_variance = 0.001,     t_end = 5000, t_step = 1 )  # example with trophic priority n_species <- 4 n_resources <- 6 ExampleE <- randomE(     n_species = n_species,     n_resources = n_resources,     mean_consumption = n_resources,     mean_production = 0 ) ExampleTrophicPriority <- t(apply(     matrix(sample(n_species * n_resources),         nrow = n_species     ),     1, order )) # make sure that for non-consumables resources for each species, # the priority is 0 (smaller than any given priority) ExampleTrophicPriority <- (ExampleE > 0) * ExampleTrophicPriority tse3 <- simulateConsumerResource(     n_species = n_species,     n_resources = n_resources,     E = ExampleE,     trophic_priority = ExampleTrophicPriority,     t_end = 2000 ) }"},{"path":"/reference/simulateEventTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a vector of event times — simulateEventTimes","title":"Generate a vector of event times — simulateEventTimes","text":"Generate vector event times","code":""},{"path":"/reference/simulateEventTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a vector of event times — simulateEventTimes","text":"","code":"simulateEventTimes(t_events = NULL, t_duration = NULL, t_end = 1000, ...)"},{"path":"/reference/simulateEventTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a vector of event times — simulateEventTimes","text":"t_events Numeric vector; starting time events t_duration Numeric vector; duration events t_end Numeric: end time simulation ... : additional parameters pass simulationTimes, including t_start, t_step, t_store.","code":""},{"path":"/reference/simulateEventTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate a vector of event times — simulateEventTimes","text":"vector time points simulation","code":""},{"path":"/reference/simulateEventTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a vector of event times — simulateEventTimes","text":"","code":"tEvent <- simulateEventTimes(     t_events = c(10, 50, 100),     t_duration = c(1, 2, 3),     t_end = 100,     t_store = 100,     t_step = 1 )"},{"path":"/reference/simulateGLV.html","id":null,"dir":"Reference","previous_headings":"","what":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"Simulates time series generalized Lotka-Volterra model.","code":""},{"path":"/reference/simulateGLV.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"","code":"simulateGLV(   n_species,   names_species = NULL,   A = NULL,   x0 = NULL,   growth_rates = NULL,   sigma_drift = 0.001,   sigma_epoch = 0.1,   sigma_external = 0.3,   sigma_migration = 0.01,   epoch_p = 0.001,   t_external_events = NULL,   t_external_durations = NULL,   stochastic = TRUE,   migration_p = 0.01,   metacommunity_probability = NULL,   error_variance = 0,   norm = FALSE,   t_end = 1000,   ... )"},{"path":"/reference/simulateGLV.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"n_species Integer: number species names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) matrix: interaction matrix defining positive negative interactions n_species. NULL, randomA(n_species) used. (default: = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0, max = 1) used. (default: x0 = NULL) growth_rates Numeric: growth rates simulated species. NULL, runif(n = n_species, min = 0, max = 1) used. (default: growth_rates = NULL) sigma_drift Numeric: standard deviation normally distributed noise applied time step (t_step) (default: sigma_drift = 0.001) sigma_epoch Numeric: standard deviation normally distributed noise applied random periods community composition frequency defined epoch_p parameter (default: sigma_epoch = 0.1) sigma_external Numeric: standard deviation normally distributed noise applied user-defined external events/disturbances (default: sigma_external = 0.3) sigma_migration Numeric: standard deviation normally distributed variable defines intensity migration time step (t_step) (default: sigma_migration = 0.01) epoch_p Numeric: probability/frequency random periodic changes introduced community composition (default: epoch_p = 0.001) t_external_events Numeric: starting time points defined external events introduce random changes community composition (default: t_external_events = NULL) t_external_durations Numeric: respective duration external events defined 't_external_events' (times) sigma_external (std). (default: t_external_durations = NULL) stochastic Logical: whether introduce noise simulation. False, sigma_drift, sigma_epoch, sigma_external ignored. (default: stochastic = FALSE) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateGLV.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"simulateGLV returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateGLV.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"Simulates community time series using generalized Lotka-Volterra model, defined dx/dt = x(b+Ax), x vector species abundances, diag(x) diagonal matrix diagonal values set x. interaction matrix b vector growth rates.","code":""},{"path":"/reference/simulateGLV.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generalized Lotka-Volterra (gLV) simulation — simulateGLV","text":"","code":"# generate a random interaction matrix ExampleA <- randomA(n_species = 4, diagonal = -1)  # run the model with default values (only stochastic migration considered) tse <- simulateGLV(n_species = 4, A = ExampleA)  # run the model with two external disturbances at time points 240 and 480 # with durations equal to 1 (10 time steps when t_step by default is 0.1). ExampleGLV <- simulateGLV(     n_species = 4, A = ExampleA,     t_external_events = c(0, 240, 480), t_external_durations = c(0, 1, 1) )  # run the model with no perturbation nor migration set.seed(42) tse1 <- simulateGLV(     n_species = 4, A = ExampleA, stochastic = FALSE,     sigma_migration = 0 )  # run the model with no perturbation nor migration but with measurement error set.seed(42) tse2 <- simulateGLV(     n_species = 4, A = ExampleA, stochastic = FALSE,     error_variance = 0.001, sigma_migration = 0 )"},{"path":"/reference/simulateHubbell.html","id":null,"dir":"Reference","previous_headings":"","what":"Hubbell's neutral model simulation — simulateHubbell","title":"Hubbell's neutral model simulation — simulateHubbell","text":"Neutral species abundances simulation according Hubbell model.","code":""},{"path":"/reference/simulateHubbell.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hubbell's neutral model simulation — simulateHubbell","text":"","code":"simulateHubbell(   n_species,   M,   carrying_capacity = 1000,   k_events = 10,   migration_p = 0.02,   t_skip = 0,   t_end,   norm = FALSE )"},{"path":"/reference/simulateHubbell.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hubbell's neutral model simulation — simulateHubbell","text":"n_species integer amount different species initially local community M integer amount different species metacommunity, including local community carrying_capacity integer value fixed amount individuals local community (default: carrying_capacity = 1000) k_events integer value fixed amount deaths local community individuals generation (default: k_events = 10) migration_p numeric immigration rate: probability death local community replaced migrant metacommunity rather birth local community member (default: migration_p = 0.02) t_skip integer number generations included outputted species abundance matrix. (default: t_skip = 0) t_end integer number simulations simulated norm logical scalar choosing whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE)","code":""},{"path":"/reference/simulateHubbell.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hubbell's neutral model simulation — simulateHubbell","text":"simulateHubbell returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateHubbell.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hubbell's neutral model simulation — simulateHubbell","text":"Rosindell, James et al. \"unified neutral theory biodiversity biogeography age ten.\" Trends ecology & evolution vol. 26,7 (2011).","code":""},{"path":"/reference/simulateHubbell.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hubbell's neutral model simulation — simulateHubbell","text":"","code":"tse <- simulateHubbell(     n_species = 8, M = 10, carrying_capacity = 1000, k_events = 50,     migration_p = 0.02, t_end = 100 )"},{"path":"/reference/simulateHubbellRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"Neutral species abundances simulation according Hubbell model. model shows losses society can replaced either birth individuals immigration depending probabilities. specific time events birth migration calculated time effect considered determine next event.","code":""},{"path":"/reference/simulateHubbellRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"","code":"simulateHubbellRates(   n_species = NULL,   x0 = NULL,   names_species = NULL,   migration_p = 0.01,   metacommunity_probability = NULL,   k_events = 1,   growth_rates = NULL,   error_variance = 0,   norm = FALSE,   t_end = 1000,   ... )"},{"path":"/reference/simulateHubbellRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"n_species Integer: number species x0 Numeric: initial species composition. NULL, rep(100, n_species) used. names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) k_events Integer: number events simulate updating sampling distributions. (default: k_events = 1) growth_rates Numeric: maximum growth rates(mu) species. NULL, rep(1, n_species) used. (default: growth_rates = NULL) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateHubbellRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"simulateHubbellRates returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateHubbellRates.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"Rosindell, James et al. \"unified neutral theory biodiversity biogeography age ten.\" Trends ecology & evolution vol. 26,7 (2011).","code":""},{"path":"/reference/simulateHubbellRates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hubbell's neutral model simulation applied to time series — simulateHubbellRates","text":"","code":"set.seed(42) tse <- simulateHubbellRates(n_species = 5)  miaViz::plotSeries(tse, x = \"time\") #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf #> Warning: no non-missing arguments to max; returning -Inf   # no migration, all stochastic birth and death set.seed(42) tse1 <- simulateHubbellRates(n_species = 5, migration_p = 0)  # all migration, no stochastic birth and death set.seed(42) tse2 <- simulateHubbellRates(     n_species = 5,     migration_p = 1,     metacommunity_probability = c(0.1, 0.15, 0.2, 0.25, 0.3),     t_end = 20,     t_store = 200 )  # all migration, no stochastic birth and death, but with measurement errors set.seed(42) tse3 <- simulateHubbellRates(     n_species = 5,     migration_p = 1,     metacommunity_probability = c(0.1, 0.15, 0.2, 0.25, 0.3),     t_end = 20,     t_store = 200,     error_variance = 100 )  # model with specified inputs set.seed(42) tse4 <- simulateHubbellRates(     n_species = 5,     migration_p = 0.1,     metacommunity_probability = c(0.1, 0.15, 0.2, 0.25, 0.3),     t_end = 200,     t_store = 1000,     k_events = 5,     growth_rates = c(1.1, 1.05, 1, 0.95, 0.9) )"},{"path":"/reference/simulateRicker.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate time series with the Ricker model — simulateRicker","title":"Generate time series with the Ricker model — simulateRicker","text":"Ricker model discrete version generalized Lotka-Volterra model implemented proposed Fisher Mehta PLoS ONE 2014.","code":""},{"path":"/reference/simulateRicker.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate time series with the Ricker model — simulateRicker","text":"","code":"simulateRicker(   n_species,   A,   names_species = NULL,   x0 = runif(n_species),   carrying_capacities = runif(n_species),   error_variance = 0.05,   explosion_bound = 10^8,   t_end = 1000,   norm = FALSE,   ... )"},{"path":"/reference/simulateRicker.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate time series with the Ricker model — simulateRicker","text":"n_species Integer: number species interaction matrix names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0, max = 1) used. carrying_capacities numeric carrying capacities. NULL, runif(n = n_species, min = 0, max = 1) used. error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0.05) explosion_bound numeric value boundary explosion (default: explosion_bound = 10^8) t_end integer number simulations simulated norm logical scalar returning normalised abundances (proportions generation) (default: norm = FALSE) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateRicker.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate time series with the Ricker model — simulateRicker","text":"simulateRicker returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateRicker.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Generate time series with the Ricker model — simulateRicker","text":"Fisher & Mehta (2014). Identifying Keystone Species Human Gut Microbiome Metagenomic Timeseries using Sparse Linear Regression. PLoS One 9:e102451","code":""},{"path":"/reference/simulateRicker.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate time series with the Ricker model — simulateRicker","text":"","code":"A <- powerlawA(10, alpha = 1.01) tse <- simulateRicker(n_species = 10, A, t_end = 100)"},{"path":"/reference/simulateSOI.html","id":null,"dir":"Reference","previous_headings":"","what":"Self-Organised Instability model (SOI) simulation — simulateSOI","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"Generate time-series Self-Organised Instability (SOI) model. Implements K-leap method accelerating stochastic simulation.","code":""},{"path":"/reference/simulateSOI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"","code":"simulateSOI(   n_species,   x0 = NULL,   names_species = NULL,   carrying_capacity = 1000,   A = NULL,   k_events = 5,   t_end = 1000,   metacommunity_probability = runif(n_species, min = 0.1, max = 0.8),   death_rates = runif(n_species, min = 0.01, max = 0.08),   norm = FALSE )"},{"path":"/reference/simulateSOI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"n_species Integer: number species x0 vector initial community abundances (default: x0 = NULL), based migration rates names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) carrying_capacity integer community size, number available sites (individuals) matrix: interaction matrix defining positive negative interactions n_species. NULL, powerlawA(n_species) used. (default: = NULL) k_events integer number transition events allowed take place one leap. (default: k_events = 5). Higher values reduce runtime, also accuracy simulation. t_end Numeric: end time simulation, defining modeled time length community. (default: t_end = 1000) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. default, runif(n_species, min = 0.1, max = 0.8) used. (default: metacommunity_probability = runif(n_species, min = 0.1, max = 0.8)) death_rates Numeric: death rates species. default, runif(n_species, min = 0.01, max = 0.08) used. (default: death_rates = runif(n_species, min = 0.01, max = 0.08)) norm logical scalar indicating whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE)","code":""},{"path":"/reference/simulateSOI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"simulateSOI returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateSOI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Self-Organised Instability model (SOI) simulation — simulateSOI","text":"","code":"# Generate interaction matrix A <- miaSim::powerlawA(10, alpha = 1.2) # Simulate data from the SOI model tse <- simulateSOI(     n_species = 10, carrying_capacity = 1000, A = A,     k_events = 5, x0 = NULL, t_end = 150, norm = TRUE )"},{"path":"/reference/simulateStochasticLogistic.html","id":null,"dir":"Reference","previous_headings":"","what":"Stochastic Logistic simulation — simulateStochasticLogistic","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"Simulates time series (stochastic) logistic model","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"","code":"simulateStochasticLogistic(   n_species,   names_species = NULL,   growth_rates = NULL,   carrying_capacities = NULL,   death_rates = NULL,   x0 = NULL,   sigma_drift = 0.001,   sigma_epoch = 0.1,   sigma_external = 0.3,   sigma_migration = 0.01,   epoch_p = 0.001,   t_external_events = NULL,   t_external_durations = NULL,   migration_p = 0.01,   metacommunity_probability = NULL,   stochastic = TRUE,   error_variance = 0,   norm = FALSE,   t_end = 1000,   ... )"},{"path":"/reference/simulateStochasticLogistic.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"n_species Integer: number species names_species Character: names species. NULL, paste0(\"sp\", seq_len(n_species)) used. (default: names_species = NULL) growth_rates Numeric: growth rates simulated species. NULL, runif(n = n_species, min = 0.1, max = 0.2) used. (default: growth_rates = NULL) carrying_capacities Numeric: max population species supported community. NULL, runif(n = n_species, min = 1000, max = 2000) used. (default: carrying_capacities = NULL) death_rates Numeric: death rates species. NULL, runif(n = n_species, min = 0.0005, max = 0.0025) used. (default: death_rates = NULL) x0 Numeric: initial abundances simulated species. NULL, runif(n = n_species, min = 0.1, max = 10) used. (default: x0 = NULL) sigma_drift Numeric: standard deviation normally distributed noise applied time step (t_step) (default: sigma_drift = 0.001) sigma_epoch Numeric: standard deviation normally distributed noise applied random periods community composition frequency defined epoch_p parameter (default: sigma_epoch = 0.1) sigma_external Numeric: standard deviation normally distributed noise applied user-defined external events/disturbances (default: sigma_external = 0.3) sigma_migration Numeric: standard deviation normally distributed variable defines intensity migration time step (t_step) (default: sigma_migration = 0.01) epoch_p Numeric: probability/frequency random periodic changes introduced community composition (default: epoch_p = 0.001) t_external_events Numeric: starting time points defined external events introduce random changes community composition (default: t_external_events = NULL) t_external_durations Numeric: respective duration external events defined 't_external_events' (times) sigma_external (std). (default: t_external_durations = NULL) migration_p Numeric: probability/frequency migration metacommunity. (default: migration_p = 0.01) metacommunity_probability Numeric: Normalized probability distribution likelihood species metacommunity can enter community simulation. NULL, rdirichlet(1, alpha = rep(1,n_species)) used. (default: metacommunity_probability = NULL) stochastic Logical: whether introduce noise simulation. False, sigma_drift, sigma_epoch, sigma_external ignored. (default: stochastic = TRUE) error_variance Numeric: variance measurement error. default equals 0, indicating result contain measurement error. value non-negative. (default: error_variance = 0) norm Logical: whether time series returned abundances proportions (norm = TRUE) raw counts (default: norm = FALSE) (default: norm = FALSE) t_end Numeric: end time simulationTimes, defining modeled time length community. (default: t_end = 1000) ... additional parameters, see utils know .","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"simulateStochasticLogistic returns TreeSummarizedExperiment class object","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"change rate species defined dx/dt = b*x*(1-(x/k))*rN - dr*x, b vector growth rates, x vector initial species abundances, k vector maximum carrying capacities, rN random number ranged 0 1 changes time step, dr vector constant death rates. Also, vectors initial dead species abundances can set. number species set 0 dead species abundances surpass alive species abundances.","code":""},{"path":"/reference/simulateStochasticLogistic.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Stochastic Logistic simulation — simulateStochasticLogistic","text":"","code":"# Example of logistic model without stochasticity, death rates, or external # disturbances set.seed(42) tse <- simulateStochasticLogistic(     n_species = 5,     stochastic = FALSE, death_rates = rep(0, 5) )  # Adding a death rate set.seed(42) tse1 <- simulateStochasticLogistic(     n_species = 5,     stochastic = FALSE, death_rates = rep(0.01, 5) )  # Example of stochastic logistic model with measurement error set.seed(42) tse2 <- simulateStochasticLogistic(     n_species = 5,     error_variance = 1000 )  # example with all the initial parameters defined by the user set.seed(42) tse3 <- simulateStochasticLogistic(     n_species = 2,     names_species = c(\"species1\", \"species2\"),     growth_rates = c(0.2, 0.1),     carrying_capacities = c(1000, 2000),     death_rates = c(0.001, 0.0015),     x0 = c(3, 0.1),     sigma_drift = 0.001,     sigma_epoch = 0.3,     sigma_external = 0.5,     sigma_migration = 0.002,     epoch_p = 0.001,     t_external_events = c(100, 200, 300),     t_external_durations = c(0.1, 0.2, 0.3),     migration_p = 0.01,     metacommunity_probability = miaSim::rdirichlet(1, alpha = rep(1, 2)),     stochastic = TRUE,     error_variance = 0,     norm = FALSE, # TRUE,     t_end = 400,     t_start = 0, t_step = 0.01,     t_store = 1500 )"}]
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From e639688d9ccd3869fae0cf1ed0a7017eed0ede9e Mon Sep 17 00:00:00 2001
From: antagomir <leo.lahti@iki.fi>
Date: Mon, 8 Jan 2024 15:47:54 +0200
Subject: [PATCH 4/4] synced

---
 docs/pkgdown.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index 55c2fd2..38f6e73 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -3,5 +3,5 @@ pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
   miaSim: miaSim.html
-last_built: 2024-01-08T09:20Z
+last_built: 2024-01-08T10:38Z