diff --git a/404.html b/404.html
index 8a054a5..86c5fba 100644
--- a/404.html
+++ b/404.html
@@ -27,7 +27,7 @@
 
     <a class="navbar-brand me-2" href="https://rjdverse.github.io/rjd3x13/index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
diff --git a/LICENSE-text.html b/LICENSE-text.html
index 5a28a54..d61dd9e 100644
--- a/LICENSE-text.html
+++ b/LICENSE-text.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
diff --git a/authors.html b/authors.html
index 484e945..0c42b73 100644
--- a/authors.html
+++ b/authors.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -53,17 +53,17 @@ <h2>Authors</h2>
 
     <div class="section level2">
       <h2 id="citation">Citation</h2>
-      <p><small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
+      <p><small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
 
       <p>Palate J, Quartier-la-Tente A, Barthelemy T, Smyk A (2024).
 <em>rjd3x13: Seasonal Adjustment with X-13 in 'JDemetra+ 3.x'</em>.
-R package version 3.2.3.9000, https://rjdverse.github.io/rjd3x13/, <a href="https://github.com/rjdverse/rjd3x13" class="external-link">https://github.com/rjdverse/rjd3x13</a>.
+R package version 3.2.3, https://rjdverse.github.io/rjd3x13/, <a href="https://github.com/rjdverse/rjd3x13" class="external-link">https://github.com/rjdverse/rjd3x13</a>.
 </p>
       <pre>@Manual{,
   title = {rjd3x13: Seasonal Adjustment with X-13 in 'JDemetra+ 3.x'},
   author = {Jean Palate and Alain Quartier-la-Tente and Tanguy Barthelemy and Anna Smyk},
   year = {2024},
-  note = {R package version 3.2.3.9000, https://rjdverse.github.io/rjd3x13/},
+  note = {R package version 3.2.3, https://rjdverse.github.io/rjd3x13/},
   url = {https://github.com/rjdverse/rjd3x13},
 }</pre>
     </div>
diff --git a/index.html b/index.html
index d126b67..c7f15b5 100644
--- a/index.html
+++ b/index.html
@@ -29,7 +29,7 @@
 
     <a class="navbar-brand me-2" href="index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
diff --git a/news/index.html b/news/index.html
index b9a08d0..127e923 100644
--- a/news/index.html
+++ b/news/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Changelog</h1>
-      <small>Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
+      <small>Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
   </main></div>
diff --git a/pkgdown.yml b/pkgdown.yml
index f2e33a4..e73513e 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -2,7 +2,7 @@ pandoc: 3.1.11
 pkgdown: 2.1.0
 pkgdown_sha: ~
 articles: {}
-last_built: 2024-07-12T07:26Z
+last_built: 2024-07-12T07:31Z
 urls:
   reference: https://rjdverse.github.io/rjd3x13/reference
   article: https://rjdverse.github.io/rjd3x13/articles
diff --git a/reference/deprecated-rjd3x13.html b/reference/deprecated-rjd3x13.html
index 2a13624..3c5cf80 100644
--- a/reference/deprecated-rjd3x13.html
+++ b/reference/deprecated-rjd3x13.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Deprecated functions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/deprecated.R" class="external-link"><code>R/deprecated.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/deprecated.R" class="external-link"><code>R/deprecated.R</code></a></small>
       <div class="d-none name"><code>deprecated-rjd3x13.Rd</code></div>
     </div>
 
diff --git a/reference/index.html b/reference/index.html
index b9d22d9..bdc4cf7 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
diff --git a/reference/jd3_utilities.html b/reference/jd3_utilities.html
index cf2c1bf..87efa9e 100644
--- a/reference/jd3_utilities.html
+++ b/reference/jd3_utilities.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Java Utility Functions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/utils.R" class="external-link"><code>R/utils.R</code></a>, <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13_rslts.R" class="external-link"><code>R/x13_rslts.R</code></a>, <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13_spec.R" class="external-link"><code>R/x13_spec.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/utils.R" class="external-link"><code>R/utils.R</code></a>, <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13_rslts.R" class="external-link"><code>R/x13_rslts.R</code></a>, <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13_spec.R" class="external-link"><code>R/x13_spec.R</code></a></small>
       <div class="d-none name"><code>jd3_utilities.Rd</code></div>
     </div>
 
diff --git a/reference/refresh.html b/reference/refresh.html
index a463a82..6423399 100644
--- a/reference/refresh.html
+++ b/reference/refresh.html
@@ -11,7 +11,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -32,7 +32,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Refresh a specification with constraints</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
       <div class="d-none name"><code>refresh.Rd</code></div>
     </div>
 
diff --git a/reference/regarima.html b/reference/regarima.html
index 927110b..b35b3c1 100644
--- a/reference/regarima.html
+++ b/reference/regarima.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>RegARIMA model, pre-adjustment in X13</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
       <div class="d-none name"><code>regarima.Rd</code></div>
     </div>
 
diff --git a/reference/regarima_outliers.html b/reference/regarima_outliers.html
index 58604bf..55947ac 100644
--- a/reference/regarima_outliers.html
+++ b/reference/regarima_outliers.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Outlier Detection with a RegARIMA Model</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/regarima_outliers.R" class="external-link"><code>R/regarima_outliers.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/regarima_outliers.R" class="external-link"><code>R/regarima_outliers.R</code></a></small>
       <div class="d-none name"><code>regarima_outliers.Rd</code></div>
     </div>
 
diff --git a/reference/userdefined_variables_x13.html b/reference/userdefined_variables_x13.html
index 2a56126..60b68f5 100644
--- a/reference/userdefined_variables_x13.html
+++ b/reference/userdefined_variables_x13.html
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -36,7 +36,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Display a list of all the available output objects</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/udvar.R" class="external-link"><code>R/udvar.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/udvar.R" class="external-link"><code>R/udvar.R</code></a></small>
       <div class="d-none name"><code>userdefined_variables_x13.Rd</code></div>
     </div>
 
diff --git a/reference/x11.html b/reference/x11.html
index 51c436a..5bd2004 100644
--- a/reference/x11.html
+++ b/reference/x11.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>X-11 Decomposition Algorithm</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
       <div class="d-none name"><code>x11.Rd</code></div>
     </div>
 
diff --git a/reference/x11_spec.html b/reference/x11_spec.html
index b68701f..3846478 100644
--- a/reference/x11_spec.html
+++ b/reference/x11_spec.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Set X-11 Specification</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/set_x11_spec.R" class="external-link"><code>R/set_x11_spec.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/set_x11_spec.R" class="external-link"><code>R/set_x11_spec.R</code></a></small>
       <div class="d-none name"><code>x11_spec.Rd</code></div>
     </div>
 
diff --git a/reference/x13.html b/reference/x13.html
index ea5569c..0829e25 100644
--- a/reference/x13.html
+++ b/reference/x13.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Seasonal Adjustment with X13-ARIMA</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
       <div class="d-none name"><code>x13.Rd</code></div>
     </div>
 
diff --git a/reference/x13_dictionary.html b/reference/x13_dictionary.html
index bcf0a4b..a99faa0 100644
--- a/reference/x13_dictionary.html
+++ b/reference/x13_dictionary.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>X-13 Dictionary</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
       <div class="d-none name"><code>x13_dictionary.Rd</code></div>
     </div>
 
diff --git a/reference/x13_full_dictionary.html b/reference/x13_full_dictionary.html
index 0509a2e..3c56268 100644
--- a/reference/x13_full_dictionary.html
+++ b/reference/x13_full_dictionary.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Title</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13.R" class="external-link"><code>R/x13.R</code></a></small>
       <div class="d-none name"><code>x13_full_dictionary.Rd</code></div>
     </div>
 
diff --git a/reference/x13_revisions.html b/reference/x13_revisions.html
index a320f85..74613e1 100644
--- a/reference/x13_revisions.html
+++ b/reference/x13_revisions.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>Revisions History</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/revisions.R" class="external-link"><code>R/revisions.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/revisions.R" class="external-link"><code>R/revisions.R</code></a></small>
       <div class="d-none name"><code>x13_revisions.Rd</code></div>
     </div>
 
diff --git a/reference/x13_spec.html b/reference/x13_spec.html
index 21c7abc..69f6008 100644
--- a/reference/x13_spec.html
+++ b/reference/x13_spec.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">rjd3x13</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3.9000</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.2.3</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">
@@ -28,7 +28,7 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.svg" class="logo" alt=""><h1>RegARIMA/X-13 Default Specifications</h1>
-      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/develop/R/x13_spec.R" class="external-link"><code>R/x13_spec.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/rjdverse/rjd3x13/blob/v3.2.3/R/x13_spec.R" class="external-link"><code>R/x13_spec.R</code></a></small>
       <div class="d-none name"><code>x13_spec.Rd</code></div>
     </div>
 
diff --git a/search.json b/search.json
index 44ae8cf..26ee11c 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://rjdverse.github.io/rjd3x13/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Jean Palate. Author. Alain Quartier-la-Tente. Author. Tanguy Barthelemy. Author, maintainer, artist. Anna Smyk. Author.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Palate J, Quartier-la-Tente , Barthelemy T, Smyk (2024). rjd3x13: Seasonal Adjustment X-13 'JDemetra+ 3.x'. R package version 3.2.3.9000, https://rjdverse.github.io/rjd3x13/, https://github.com/rjdverse/rjd3x13.","code":"@Manual{,   title = {rjd3x13: Seasonal Adjustment with X-13 in 'JDemetra+ 3.x'},   author = {Jean Palate and Alain Quartier-la-Tente and Tanguy Barthelemy and Anna Smyk},   year = {2024},   note = {R package version 3.2.3.9000, https://rjdverse.github.io/rjd3x13/},   url = {https://github.com/rjdverse/rjd3x13}, }"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"rjd3x13-","dir":"","previous_headings":"","what":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"rjd3x13 offers full access options outputs X-13 (rjd3x13::x13()), including RegARIMA modelling (rjd3x13::regarima()) X-11 decomposition (rjd3x13::x11()). specification can created rjd3x13::regarima_spec(), rjd3x13::x11_spec() rjd3x13::x13_spec() can modified following functions: pre-processing: rjd3toolkit::set_arima(), rjd3toolkit::set_automodel(), rjd3toolkit::set_basic(), rjd3toolkit::set_easter(), rjd3toolkit::set_estimate(), rjd3toolkit::set_outlier(), rjd3toolkit::set_tradingdays(), rjd3toolkit::set_transform(), rjd3toolkit::add_outlier(), rjd3toolkit::remove_outlier(), rjd3toolkit::add_ramp(), rjd3toolkit::remove_ramp(), rjd3toolkit::add_usrdefvar(); decomposition: rjd3x13::set_x11(); benchmarking: rjd3toolkit::set_benchmarking().","code":""},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"Running rjd3 packages requires Java 17 higher. set configuration R explained ","code":""},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"latest-release","dir":"","previous_headings":"Installation","what":"Latest release","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"get current stable version (latest release): GitHub: r-universe:","code":"# install.packages(\"remotes\") remotes::install_github(\"rjdverse/rjd3toolkit@*release\") remotes::install_github(\"rjdverse/rjd3x13@*release\") install.packages(\"rjd3x13\", repos = c(\"https://rjdverse.r-universe.dev\", \"https://cloud.r-project.org\"))"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"development-version","dir":"","previous_headings":"Installation","what":"Development version","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"can install development version rjd3x13 GitHub :","code":"# install.packages(\"remotes\") remotes::install_github(\"rjdverse/rjd3x13\")"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"","code":"library(\"rjd3x13\")  y <- rjd3toolkit::ABS$X0.2.09.10.M x13_model <- x13(y)  summary(x13_model$result$preprocessing) # Summary of regarima model #> Log-transformation: yes  #> SARIMA model:  (2,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat Pr(>|t|)     #> phi(1)     0.34740    0.06502   5.343 1.53e-07 *** #> phi(2)     0.21733    0.06000   3.622 0.000329 *** #> theta(1)  -0.69937    0.05115 -13.672  < 2e-16 *** #> btheta(1) -0.48038    0.06993  -6.869 2.45e-11 *** #> --- #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #>  #> Regression model: #>                   Estimate Std. Error T-stat Pr(>|t|)     #> td               0.0023233  0.0006844  3.395 0.000755 *** #> easter           0.0520113  0.0084894  6.127 2.13e-09 *** #> TC (2000-06-01)  0.1590340  0.0288578  5.511 6.37e-08 *** #> AO (2000-07-01) -0.2900774  0.0400551 -7.242 2.25e-12 *** #> --- #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> Number of observations:  425 , Number of effective observations:  412 , Number of parameters:  9  #> Loglikelihood:  746.7517, Adjusted loglikelihood:  -2120.875 #> Standard error of the regression (ML estimate):  0.03927991  #> AIC:  4259.75 , AICc:  4260.198 , BIC:  4295.939  plot(x13_model) # Plot of the final decomposition"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"package-maintenance-and-contributing","dir":"","previous_headings":"","what":"Package Maintenance and contributing","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"contribution welcome done pull requests /issues. pull requests include updated tests updated documentation. functionality changed, docstrings added updated.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"licensing","dir":"","previous_headings":"","what":"Licensing","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"code project licensed European Union Public Licence (EUPL).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/deprecated-rjd3x13.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated functions — deprecated-rjd3x13","title":"Deprecated functions — deprecated-rjd3x13","text":"Deprecated functions","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/deprecated-rjd3x13.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated functions — deprecated-rjd3x13","text":"","code":"spec_x13(name = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"))  spec_regarima(name = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"))  spec_x11()  fast_x13(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )  fast_regarima(   ts,   spec = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"),   context = NULL,   userdefined = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/deprecated-rjd3x13.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated functions — deprecated-rjd3x13","text":"ts, spec, context, userdefined, name Parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/jd3_utilities.html","id":null,"dir":"Reference","previous_headings":"","what":"Java Utility Functions — jd3_utilities","title":"Java Utility Functions — jd3_utilities","text":"functions used JDemetra+ 3.0 packages easily interact R Java objects.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/jd3_utilities.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Java Utility Functions — jd3_utilities","text":"","code":".x13_rslts(jrslts)  .jd2r_spec_x11(jspec)  .r2jd_spec_x11(spec)  .r2jd_spec_regarima(spec)  .jd2r_spec_regarima(jspec)  .r2jd_spec_x13(spec)  .jd2r_spec_x13(jspec)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/jd3_utilities.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Java Utility Functions — jd3_utilities","text":"spec, jspec, jrslts parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":null,"dir":"Reference","previous_headings":"","what":"Refresh a specification with constraints — refresh","title":"Refresh a specification with constraints — refresh","text":"Function allowing create new specification updating specification used previous estimation. selected parameters kept fixed (previous estimation results) others freed re-estimation domain constraints. See details examples.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Refresh a specification with constraints — refresh","text":"","code":"regarima_refresh(   spec,   refspec = NULL,   policy = c(\"FreeParameters\", \"Complete\", \"Outliers_StochasticComponent\", \"Outliers\",     \"FixedParameters\", \"FixedAutoRegressiveParameters\", \"Fixed\", \"Current\"),   period = 0,   start = NULL,   end = NULL )  x13_refresh(   spec,   refspec = NULL,   policy = c(\"FreeParameters\", \"Complete\", \"Outliers_StochasticComponent\", \"Outliers\",     \"FixedParameters\", \"FixedAutoRegressiveParameters\", \"Fixed\", \"Current\"),   period = 0,   start = NULL,   end = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Refresh a specification with constraints — refresh","text":"spec current specification refreshed (\"result_spec\"). refspec reference specification used define domain considered re-estimation (\"domain_spec\"). default \"RG5c\" \"RSA5\" specification. policy refresh policy apply (see details). period, start, end additional parameters used specify span additive outliers (AO) introduced policy = \"Current\" specify span outliers re-detected policy = \"Outliers\" policy = \"Outliers_StochasticComponent\", case end unused. start specified, outliers re-identified whole series. Span definition: period: numeric, number observations year (12, 4...). start end: defined arrays two elements: year first period (example, period = 12 c(1980, 1) stands January 1980) dates corresponding start end included span definition.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Refresh a specification with constraints — refresh","text":"new specification, object class \"JD3_X13_SPEC\" \"JD3_REGARIMA_SPEC\".","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Refresh a specification with constraints — refresh","text":"selection constraints kept fixed re-estimated called revision policy. User-defined parameters always copied new refreshed specifications. X-13 reg-arima part can refreshed. X-11 decomposition completely re-run, keeping user-defined parameters original specification. Available refresh policies : Current: applying current pre-adjustment reg-arima model handling new raw data points, sub-span series Additive Outliers (defined new intervention variables) Fixed: applying current pre-adjustment reg-arima model replacing forecasts new raw data points. FixedParameters: pre-adjustment reg-arima model partially modified: regression coefficients re-estimated regression variables, Arima orders coefficients unchanged. FixedAutoRegressiveParameters: FixedParameters Arima Moving Average coefficients (MA) also re-estimated, Auto-regressive (AR) coefficients kept fixed. FreeParameters: regression Arima model coefficients re-estimated, regression variables Arima orders kept fixed. Outliers: regression variables Arima orders kept fixed, outliers re-detected defined span, thus regression Arima model coefficients re-estimated Outliers_StochasticComponent: \"Outliers\" Arima model orders (p,d,q)(P,D,Q) can also re-identified.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Refresh a specification with constraints — refresh","text":"information revision policies JDemetra+ online documentation: https://jdemetra-new-documentation.netlify.app/t-rev-policies-production","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Refresh a specification with constraints — refresh","text":"","code":"y<- rjd3toolkit::ABS$X0.2.08.10.M # raw series for first estimation y_raw <-window(y,end = c(2016,12)) # raw series for second (refreshed) estimation y_new <-window(y,end = c(2017,6)) # specification for first estimation spec_x13_1<-x13_spec(\"rsa5c\") # first estimation sa_x13<- x13(y_raw, spec_x13_1) # refreshing the specification current_result_spec <- sa_x13$result_spec current_domain_spec <- sa_x13$estimation_spec # policy = \"Fixed\" spec_x13_ref <- x13_refresh(current_result_spec, # point spec to be refreshed   current_domain_spec, #domain spec (set of constraints)   policy = \"Fixed\") # 2nd estimation with refreshed specification sa_x13_ref <- x13(y_new, spec_x13_ref) # policy = \"Outliers\" spec_x13_ref <- x13_refresh(current_result_spec,   current_domain_spec,   policy = \"Outliers\",   period=12,   start=c(2017,1)) # outliers will be re-detected from January 2017 included # 2nd estimation with refreshed specification sa_x13_ref <- x13(y_new, spec_x13_ref)  # policy = \"Current\" spec_x13_ref <- x13_refresh(current_result_spec,   current_domain_spec,   policy = \"Current\",   period=12,   start=c(2017,1),   end=end(y_new))   # points from January 2017 (included) until the end of the series will be treated   # as Additive Outliers, the previous reg-Arima model being otherwise kept fixed # 2nd estimation with refreshed specification sa_x13_ref <- x13(y_new, spec_x13_ref)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":null,"dir":"Reference","previous_headings":"","what":"RegARIMA model, pre-adjustment in X13 — regarima","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"RegARIMA model, pre-adjustment X13","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"","code":"regarima(   ts,   spec = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"),   context = NULL,   userdefined = NULL )  regarima_fast(   ts,   spec = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"),   context = NULL,   userdefined = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"ts univariate time series. spec model specification. Can either name predefined specification user-defined specification. context list external regressors (calendar ) used estimation userdefined vector containing additional output variables (see x13_dictionary()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"regarima() function returns list results (\"JD3_REGARIMA_RSLTS\" object), estimation specification result specification, regarima_fast() faster function returns results.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"","code":"y = rjd3toolkit::ABS$X0.2.09.10.M sp = regarima_spec(\"rg5c\") sp = rjd3toolkit::add_outlier(sp,                  type = c(\"AO\"), c(\"2015-01-01\", \"2010-01-01\")) regarima_fast(y, spec = sp) #> Log-transformation: yes  #> SARIMA model:  (0,1,1) (1,1,1) #>  #> Coefficients #>           Estimate Std. Error T-stat #> theta(1)  -0.81606    0.06959 -11.73 #> bphi(1)   -0.43734    0.02661 -16.44 #> btheta(1) -0.82509    0.04481 -18.41 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> monday          -0.008747   0.003287 -2.661 #> tuesday          0.004488   0.003314  1.354 #> wednesday       -0.001471   0.003294 -0.447 #> thursday         0.013886   0.003325  4.176 #> friday          -0.001944   0.003325 -0.585 #> saturday         0.015368   0.003304  4.651 #> easter           0.051130   0.006621  7.723 #> AO (2010-01-01)  0.035349   0.028796  1.228 #> AO (2015-01-01) -0.020385   0.028885 -0.706 #> TC (2000-06-01)  0.162169   0.026510  6.117 #> AO (2000-07-01) -0.306536   0.032095 -9.551 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  15  #>  #> Loglikelihood:  795.8429  #> Adjusted loglikelihood:  -2071.784  #>  #> Standard error of the regression (ML estimate):  0.03478056  #> AIC:  4173.568  #> AICC:  4174.78  #> BIC:  4233.883  #>  sp = rjd3toolkit::set_transform(    rjd3toolkit::set_tradingdays(      rjd3toolkit::set_easter(sp, enabled = FALSE),     option = \"workingdays\"   ),   fun = \"None\" ) regarima_fast(y, spec = sp) #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.16557    0.06461   2.563 #> phi(2)     0.08780    0.06435   1.364 #> phi(3)    -0.11287    0.06047  -1.867 #> theta(1)  -0.86076    0.03927 -21.918 #> btheta(1) -0.22918    0.05193  -4.413 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0015     0.8098  1.237 #> lp                29.6392    11.5469  2.567 #> AO (2010-01-01)   37.0476    34.4300  1.076 #> AO (2015-01-01)   27.9946    35.0234  0.799 #> AO (2000-06-01)  199.7536    34.5756  5.777 #> AO (2000-07-01) -194.6887    34.6240 -5.623 #> LS (2005-04-01)  -82.3062    17.4210 -4.725 #> LS (2015-07-01)   81.3334    18.0924  4.495 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  14  #>  #> Loglikelihood:  -2159.902  #> Standard error of the regression (ML estimate):  45.632  #> AIC:  4347.804  #> AICC:  4348.862  #> BIC:  4404.099  #>  sp =  rjd3toolkit::set_outlier(sp, outliers.type = c(\"AO\")) regarima_fast(y, spec = sp) #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.11808    0.09633   1.226 #> phi(2)     0.03364    0.09199   0.366 #> phi(3)    -0.15061    0.08002  -1.882 #> theta(1)  -0.83611    0.07714 -10.838 #> btheta(1) -0.24114    0.05412  -4.456 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0012     0.8028  1.247 #> lp                30.8981    11.7820  2.622 #> AO (2010-01-01)   37.2796    35.1800  1.060 #> AO (2015-01-01)    6.5622    35.1307  0.187 #> AO (2000-06-01)  194.6157    35.1753  5.533 #> AO (2000-07-01) -201.1923    35.2286 -5.711 #> AO (2005-04-01) -150.2768    35.1047 -4.281 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  13  #>  #> Loglikelihood:  -2169.985  #> Standard error of the regression (ML estimate):  46.77874  #> AIC:  4365.971  #> AICC:  4366.885  #> BIC:  4418.244  #>"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":null,"dir":"Reference","previous_headings":"","what":"Outlier Detection with a RegARIMA Model — regarima_outliers","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"Outlier Detection RegARIMA Model","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"","code":"regarima_outliers(   y,   order = c(0L, 1L, 1L),   seasonal = c(0L, 1L, 1L),   mean = FALSE,   X = NULL,   X.td = NULL,   ao = TRUE,   ls = TRUE,   tc = FALSE,   so = FALSE,   cv = 0,   clean = FALSE )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"y dependent variable (ts object). order, seasonal orders ARIMA model. mean Boolean include mean. X user defined regressors (calendar). X.td calendar regressors. ao, ls, , tc Boolean indicate type outliers detected. cv numeric. entered critical value outlier detection procedure. equal 0 critical value outlier detection procedure automatically determined number observations. clean Clean missing values beginning/end series. Regression variables automatically resized, need .","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"\"JD3_REGARIMA_OUTLIERS\" object, containing input variables results","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"","code":"regarima_outliers(rjd3toolkit::ABS$X0.2.09.10.M) #> $model #> $model$y #>         Jan    Feb    Mar    Apr    May    Jun    Jul    Aug    Sep    Oct #> 1982                       460.1  502.6  443.8  459.1  438.4  465.1  452.7 #> 1983  379.2  378.0  472.1  503.4  510.6  462.4  468.3  458.2  482.7  485.3 #> 1984  414.7  414.5  484.7  487.3  597.9  500.4  543.4  503.4  522.8  556.6 #> 1985  516.3  452.5  525.8  587.7  700.3  561.8  602.8  582.5  563.1  637.1 #> 1986  570.5  478.2  547.4  594.3  751.6  553.4  663.2  581.1  661.9  665.6 #> 1987  613.9  513.2  599.9  674.1  714.0  670.5  720.9  601.6  672.3  709.1 #> 1988  631.0  551.1  678.1  715.7  740.8  722.0  683.5  650.9  723.3  729.6 #> 1989  631.5  552.0  719.0  697.6  764.8  786.3  715.1  723.8  757.9  751.7 #> 1990  678.2  586.2  726.8  744.1  815.5  832.4  710.3  759.4  741.1  786.6 #> 1991  694.0  604.7  719.2  748.2  828.2  746.9  794.5  770.4  741.5  858.6 #> 1992  740.0  665.9  701.5  831.4  878.6  826.0  788.2  723.6  819.8  902.5 #> 1993  762.1  643.0  754.1  840.7  906.6  887.1  771.5  728.7  844.7  886.9 #> 1994  745.7  664.4  821.5  831.7  908.0  912.6  782.9  798.8  887.0  934.6 #> 1995  752.4  682.5  811.2  906.0  927.2  906.8  880.6  873.9  856.8  920.6 #> 1996  833.1  737.1  812.0  895.2  962.8  908.6  908.0  888.9  833.7  933.7 #> 1997  840.9  727.4  857.9  849.0  994.8  830.2  971.1  836.0  939.1  976.9 #> 1998  917.3  716.2  822.9  970.1  970.2  849.4 1042.3  869.9  939.4 1021.3 #> 1999  942.0  738.4  903.2  953.2 1011.2  894.4 1054.5  899.5 1002.3 1043.7 #> 2000  924.9  798.2  901.9 1024.7 1052.3 1165.5  859.3 1009.2 1054.6 1070.4 #> 2001  971.9  814.6 1017.5 1039.2 1123.5 1024.9 1100.8  963.0 1012.9 1132.0 #> 2002 1027.9  841.4 1043.9 1075.3 1190.9 1143.0 1075.7 1065.9 1060.1 1211.4 #> 2003 1099.3  900.5 1092.7 1222.4 1237.1 1237.9 1182.0 1101.2 1198.2 1316.1 #> 2004 1182.9  989.8 1131.4 1277.1 1280.3 1384.1 1305.9 1166.8 1317.9 1358.3 #> 2005 1246.3 1037.3 1300.8 1153.7 1264.2 1454.2 1290.1 1210.7 1277.8 1314.4 #> 2006 1193.7 1037.7 1204.5 1348.6 1267.6 1429.0 1412.0 1239.2 1219.1 1344.6 #> 2007 1267.3 1047.0 1331.6 1302.6 1365.1 1491.5 1462.3 1315.5 1353.3 1440.6 #> 2008 1397.8 1140.5 1351.7 1396.6 1421.1 1401.6 1582.3 1268.4 1383.3 1452.4 #> 2009 1451.0 1056.6 1386.9 1509.1 1519.4 1500.5 1570.7 1341.5 1399.9 1534.3 #> 2010 1469.1 1111.9 1379.9 1389.7 1427.2 1551.4 1581.0 1324.0 1422.0 1464.9 #> 2011 1412.6 1117.5 1321.6 1472.6 1408.9 1471.9 1532.5 1293.5 1345.7 1404.7 #> 2012 1362.4 1131.7 1349.2 1391.2 1456.9 1616.4 1423.4 1359.0 1367.8 1442.6 #> 2013 1397.4 1113.6 1397.3 1339.1 1441.9 1537.4 1390.6 1337.2 1359.4 1463.3 #> 2014 1451.0 1064.9 1293.2 1442.9 1411.8 1461.6 1501.6 1254.2 1356.4 1478.7 #> 2015 1471.2 1053.8 1367.2 1442.2 1428.7 1480.9 1540.9 1331.9 1400.1 1566.3 #> 2016 1519.2 1155.8 1451.5 1451.0 1449.7 1596.1 1468.3 1293.9 1393.5 1497.4 #> 2017 1428.5 1092.4 1370.3 1522.6 1452.4 1557.2 1445.5 1303.1               #>         Nov    Dec #> 1982  522.9  889.3 #> 1983  568.7  963.7 #> 1984  623.2 1039.4 #> 1985  697.1 1187.5 #> 1986  700.9 1367.9 #> 1987  743.2 1460.1 #> 1988  870.3 1570.0 #> 1989  923.8 1569.4 #> 1990  931.5 1563.1 #> 1991  944.7 1600.3 #> 1992  968.6 1650.9 #> 1993  970.0 1710.5 #> 1994 1000.4 1817.5 #> 1995 1067.4 1857.2 #> 1996 1081.6 1837.6 #> 1997 1111.3 1879.1 #> 1998 1137.7 1975.7 #> 1999 1207.2 2069.6 #> 2000 1232.5 2177.5 #> 2001 1344.8 2269.5 #> 2002 1495.1 2338.6 #> 2003 1528.2 2424.2 #> 2004 1536.7 2500.8 #> 2005 1540.4 2536.0 #> 2006 1623.3 2611.1 #> 2007 1687.9 2747.0 #> 2008 1675.9 2886.1 #> 2009 1736.6 2795.1 #> 2010 1705.5 2752.4 #> 2011 1660.0 2730.5 #> 2012 1672.9 2753.3 #> 2013 1668.9 2725.5 #> 2014 1687.7 2756.9 #> 2015 1730.5 2913.6 #> 2016 1684.3 2850.4 #> 2017               #>  #> $model$variables #> [1] \"AO.220\" \"AO.219\" \"AO.277\" \"LS.400\" \"LS.280\" #>  #> $model$X #>        [,1] [,2] [,3] [,4] [,5] #>   [1,]    0    0    0   -1   -1 #>   [2,]    0    0    0   -1   -1 #>   [3,]    0    0    0   -1   -1 #>   [4,]    0    0    0   -1   -1 #>   [5,]    0    0    0   -1   -1 #>   [6,]    0    0    0   -1   -1 #>   [7,]    0    0    0   -1   -1 #>   [8,]    0    0    0   -1   -1 #>   [9,]    0    0    0   -1   -1 #>  [10,]    0    0    0   -1   -1 #>  [11,]    0    0    0   -1   -1 #>  [12,]    0    0    0   -1   -1 #>  [13,]    0    0    0   -1   -1 #>  [14,]    0    0    0   -1   -1 #>  [15,]    0    0    0   -1   -1 #>  [16,]    0    0    0   -1   -1 #>  [17,]    0    0    0   -1   -1 #>  [18,]    0    0    0   -1   -1 #>  [19,]    0    0    0   -1   -1 #>  [20,]    0    0    0   -1   -1 #>  [21,]    0    0    0   -1   -1 #>  [22,]    0    0    0   -1   -1 #>  [23,]    0    0    0   -1   -1 #>  [24,]    0    0    0   -1   -1 #>  [25,]    0    0    0   -1   -1 #>  [26,]    0    0    0   -1   -1 #>  [27,]    0    0    0   -1   -1 #>  [28,]    0    0    0   -1   -1 #>  [29,]    0    0    0   -1   -1 #>  [30,]    0    0    0   -1   -1 #>  [31,]    0    0    0   -1   -1 #>  [32,]    0    0    0   -1   -1 #>  [33,]    0    0    0   -1   -1 #>  [34,]    0    0    0   -1   -1 #>  [35,]    0    0    0   -1   -1 #>  [36,]    0    0    0   -1   -1 #>  [37,]    0    0    0   -1   -1 #>  [38,]    0    0    0   -1   -1 #>  [39,]    0    0    0   -1   -1 #>  [40,]    0    0    0   -1   -1 #>  [41,]    0    0    0   -1   -1 #>  [42,]    0    0    0   -1   -1 #>  [43,]    0    0    0   -1   -1 #>  [44,]    0    0    0   -1   -1 #>  [45,]    0    0    0   -1   -1 #>  [46,]    0    0    0   -1   -1 #>  [47,]    0    0    0   -1   -1 #>  [48,]    0    0    0   -1   -1 #>  [49,]    0    0    0   -1   -1 #>  [50,]    0    0    0   -1   -1 #>  [51,]    0    0    0   -1   -1 #>  [52,]    0    0    0   -1   -1 #>  [53,]    0    0    0   -1   -1 #>  [54,]    0    0    0   -1   -1 #>  [55,]    0    0    0   -1   -1 #>  [56,]    0    0    0   -1   -1 #>  [57,]    0    0    0   -1   -1 #>  [58,]    0    0    0   -1   -1 #>  [59,]    0    0    0   -1   -1 #>  [60,]    0    0    0   -1   -1 #>  [61,]    0    0    0   -1   -1 #>  [62,]    0    0    0   -1   -1 #>  [63,]    0    0    0   -1   -1 #>  [64,]    0    0    0   -1   -1 #>  [65,]    0    0    0   -1   -1 #>  [66,]    0    0    0   -1   -1 #>  [67,]    0    0    0   -1   -1 #>  [68,]    0    0    0   -1   -1 #>  [69,]    0    0    0   -1   -1 #>  [70,]    0    0    0   -1   -1 #>  [71,]    0    0    0   -1   -1 #>  [72,]    0    0    0   -1   -1 #>  [73,]    0    0    0   -1   -1 #>  [74,]    0    0    0   -1   -1 #>  [75,]    0    0    0   -1   -1 #>  [76,]    0    0    0   -1   -1 #>  [77,]    0    0    0   -1   -1 #>  [78,]    0    0    0   -1   -1 #>  [79,]    0    0    0   -1   -1 #>  [80,]    0    0    0   -1   -1 #>  [81,]    0    0    0   -1   -1 #>  [82,]    0    0    0   -1   -1 #>  [83,]    0    0    0   -1   -1 #>  [84,]    0    0    0   -1   -1 #>  [85,]    0    0    0   -1   -1 #>  [86,]    0    0    0   -1   -1 #>  [87,]    0    0    0   -1   -1 #>  [88,]    0    0    0   -1   -1 #>  [89,]    0    0    0   -1   -1 #>  [90,]    0    0    0   -1   -1 #>  [91,]    0    0    0   -1   -1 #>  [92,]    0    0    0   -1   -1 #>  [93,]    0    0    0   -1   -1 #>  [94,]    0    0    0   -1   -1 #>  [95,]    0    0    0   -1   -1 #>  [96,]    0    0    0   -1   -1 #>  [97,]    0    0    0   -1   -1 #>  [98,]    0    0    0   -1   -1 #>  [99,]    0    0    0   -1   -1 #> [100,]    0    0    0   -1   -1 #> [101,]    0    0    0   -1   -1 #> [102,]    0    0    0   -1   -1 #> [103,]    0    0    0   -1   -1 #> [104,]    0    0    0   -1   -1 #> [105,]    0    0    0   -1   -1 #> [106,]    0    0    0   -1   -1 #> [107,]    0    0    0   -1   -1 #> [108,]    0    0    0   -1   -1 #> [109,]    0    0    0   -1   -1 #> [110,]    0    0    0   -1   -1 #> [111,]    0    0    0   -1   -1 #> [112,]    0    0    0   -1   -1 #> [113,]    0    0    0   -1   -1 #> [114,]    0    0    0   -1   -1 #> [115,]    0    0    0   -1   -1 #> [116,]    0    0    0   -1   -1 #> [117,]    0    0    0   -1   -1 #> [118,]    0    0    0   -1   -1 #> [119,]    0    0    0   -1   -1 #> [120,]    0    0    0   -1   -1 #> [121,]    0    0    0   -1   -1 #> [122,]    0    0    0   -1   -1 #> [123,]    0    0    0   -1   -1 #> [124,]    0    0    0   -1   -1 #> [125,]    0    0    0   -1   -1 #> [126,]    0    0    0   -1   -1 #> [127,]    0    0    0   -1   -1 #> [128,]    0    0    0   -1   -1 #> [129,]    0    0    0   -1   -1 #> [130,]    0    0    0   -1   -1 #> [131,]    0    0    0   -1   -1 #> [132,]    0    0    0   -1   -1 #> [133,]    0    0    0   -1   -1 #> [134,]    0    0    0   -1   -1 #> [135,]    0    0    0   -1   -1 #> [136,]    0    0    0   -1   -1 #> [137,]    0    0    0   -1   -1 #> [138,]    0    0    0   -1   -1 #> [139,]    0    0    0   -1   -1 #> [140,]    0    0    0   -1   -1 #> [141,]    0    0    0   -1   -1 #> [142,]    0    0    0   -1   -1 #> [143,]    0    0    0   -1   -1 #> [144,]    0    0    0   -1   -1 #> [145,]    0    0    0   -1   -1 #> [146,]    0    0    0   -1   -1 #> [147,]    0    0    0   -1   -1 #> [148,]    0    0    0   -1   -1 #> [149,]    0    0    0   -1   -1 #> [150,]    0    0    0   -1   -1 #> [151,]    0    0    0   -1   -1 #> [152,]    0    0    0   -1   -1 #> [153,]    0    0    0   -1   -1 #> [154,]    0    0    0   -1   -1 #> [155,]    0    0    0   -1   -1 #> [156,]    0    0    0   -1   -1 #> [157,]    0    0    0   -1   -1 #> [158,]    0    0    0   -1   -1 #> [159,]    0    0    0   -1   -1 #> [160,]    0    0    0   -1   -1 #> [161,]    0    0    0   -1   -1 #> [162,]    0    0    0   -1   -1 #> [163,]    0    0    0   -1   -1 #> [164,]    0    0    0   -1   -1 #> [165,]    0    0    0   -1   -1 #> [166,]    0    0    0   -1   -1 #> [167,]    0    0    0   -1   -1 #> [168,]    0    0    0   -1   -1 #> [169,]    0    0    0   -1   -1 #> [170,]    0    0    0   -1   -1 #> [171,]    0    0    0   -1   -1 #> [172,]    0    0    0   -1   -1 #> [173,]    0    0    0   -1   -1 #> [174,]    0    0    0   -1   -1 #> [175,]    0    0    0   -1   -1 #> [176,]    0    0    0   -1   -1 #> [177,]    0    0    0   -1   -1 #> [178,]    0    0    0   -1   -1 #> [179,]    0    0    0   -1   -1 #> [180,]    0    0    0   -1   -1 #> [181,]    0    0    0   -1   -1 #> [182,]    0    0    0   -1   -1 #> [183,]    0    0    0   -1   -1 #> [184,]    0    0    0   -1   -1 #> [185,]    0    0    0   -1   -1 #> [186,]    0    0    0   -1   -1 #> [187,]    0    0    0   -1   -1 #> [188,]    0    0    0   -1   -1 #> [189,]    0    0    0   -1   -1 #> [190,]    0    0    0   -1   -1 #> [191,]    0    0    0   -1   -1 #> [192,]    0    0    0   -1   -1 #> [193,]    0    0    0   -1   -1 #> [194,]    0    0    0   -1   -1 #> [195,]    0    0    0   -1   -1 #> [196,]    0    0    0   -1   -1 #> [197,]    0    0    0   -1   -1 #> [198,]    0    0    0   -1   -1 #> [199,]    0    0    0   -1   -1 #> [200,]    0    0    0   -1   -1 #> [201,]    0    0    0   -1   -1 #> [202,]    0    0    0   -1   -1 #> [203,]    0    0    0   -1   -1 #> [204,]    0    0    0   -1   -1 #> [205,]    0    0    0   -1   -1 #> [206,]    0    0    0   -1   -1 #> [207,]    0    0    0   -1   -1 #> [208,]    0    0    0   -1   -1 #> [209,]    0    0    0   -1   -1 #> [210,]    0    0    0   -1   -1 #> [211,]    0    0    0   -1   -1 #> [212,]    0    0    0   -1   -1 #> [213,]    0    0    0   -1   -1 #> [214,]    0    0    0   -1   -1 #> [215,]    0    0    0   -1   -1 #> [216,]    0    0    0   -1   -1 #> [217,]    0    0    0   -1   -1 #> [218,]    0    0    0   -1   -1 #> [219,]    0    1    0   -1   -1 #> [220,]    1    0    0   -1   -1 #> [221,]    0    0    0   -1   -1 #> [222,]    0    0    0   -1   -1 #> [223,]    0    0    0   -1   -1 #> [224,]    0    0    0   -1   -1 #> [225,]    0    0    0   -1   -1 #> [226,]    0    0    0   -1   -1 #> [227,]    0    0    0   -1   -1 #> [228,]    0    0    0   -1   -1 #> [229,]    0    0    0   -1   -1 #> [230,]    0    0    0   -1   -1 #> [231,]    0    0    0   -1   -1 #> [232,]    0    0    0   -1   -1 #> [233,]    0    0    0   -1   -1 #> [234,]    0    0    0   -1   -1 #> [235,]    0    0    0   -1   -1 #> [236,]    0    0    0   -1   -1 #> [237,]    0    0    0   -1   -1 #> [238,]    0    0    0   -1   -1 #> [239,]    0    0    0   -1   -1 #> [240,]    0    0    0   -1   -1 #> [241,]    0    0    0   -1   -1 #> [242,]    0    0    0   -1   -1 #> [243,]    0    0    0   -1   -1 #> [244,]    0    0    0   -1   -1 #> [245,]    0    0    0   -1   -1 #> [246,]    0    0    0   -1   -1 #> [247,]    0    0    0   -1   -1 #> [248,]    0    0    0   -1   -1 #> [249,]    0    0    0   -1   -1 #> [250,]    0    0    0   -1   -1 #> [251,]    0    0    0   -1   -1 #> [252,]    0    0    0   -1   -1 #> [253,]    0    0    0   -1   -1 #> [254,]    0    0    0   -1   -1 #> [255,]    0    0    0   -1   -1 #> [256,]    0    0    0   -1   -1 #> [257,]    0    0    0   -1   -1 #> [258,]    0    0    0   -1   -1 #> [259,]    0    0    0   -1   -1 #> [260,]    0    0    0   -1   -1 #> [261,]    0    0    0   -1   -1 #> [262,]    0    0    0   -1   -1 #> [263,]    0    0    0   -1   -1 #> [264,]    0    0    0   -1   -1 #> [265,]    0    0    0   -1   -1 #> [266,]    0    0    0   -1   -1 #> [267,]    0    0    0   -1   -1 #> [268,]    0    0    0   -1   -1 #> [269,]    0    0    0   -1   -1 #> [270,]    0    0    0   -1   -1 #> [271,]    0    0    0   -1   -1 #> [272,]    0    0    0   -1   -1 #> [273,]    0    0    0   -1   -1 #> [274,]    0    0    0   -1   -1 #> [275,]    0    0    0   -1   -1 #> [276,]    0    0    0   -1   -1 #> [277,]    0    0    1   -1   -1 #> [278,]    0    0    0   -1   -1 #> [279,]    0    0    0   -1   -1 #> [280,]    0    0    0   -1    0 #> [281,]    0    0    0   -1    0 #> [282,]    0    0    0   -1    0 #> [283,]    0    0    0   -1    0 #> [284,]    0    0    0   -1    0 #> [285,]    0    0    0   -1    0 #> [286,]    0    0    0   -1    0 #> [287,]    0    0    0   -1    0 #> [288,]    0    0    0   -1    0 #> [289,]    0    0    0   -1    0 #> [290,]    0    0    0   -1    0 #> [291,]    0    0    0   -1    0 #> [292,]    0    0    0   -1    0 #> [293,]    0    0    0   -1    0 #> [294,]    0    0    0   -1    0 #> [295,]    0    0    0   -1    0 #> [296,]    0    0    0   -1    0 #> [297,]    0    0    0   -1    0 #> [298,]    0    0    0   -1    0 #> [299,]    0    0    0   -1    0 #> [300,]    0    0    0   -1    0 #> [301,]    0    0    0   -1    0 #> [302,]    0    0    0   -1    0 #> [303,]    0    0    0   -1    0 #> [304,]    0    0    0   -1    0 #> [305,]    0    0    0   -1    0 #> [306,]    0    0    0   -1    0 #> [307,]    0    0    0   -1    0 #> [308,]    0    0    0   -1    0 #> [309,]    0    0    0   -1    0 #> [310,]    0    0    0   -1    0 #> [311,]    0    0    0   -1    0 #> [312,]    0    0    0   -1    0 #> [313,]    0    0    0   -1    0 #> [314,]    0    0    0   -1    0 #> [315,]    0    0    0   -1    0 #> [316,]    0    0    0   -1    0 #> [317,]    0    0    0   -1    0 #> [318,]    0    0    0   -1    0 #> [319,]    0    0    0   -1    0 #> [320,]    0    0    0   -1    0 #> [321,]    0    0    0   -1    0 #> [322,]    0    0    0   -1    0 #> [323,]    0    0    0   -1    0 #> [324,]    0    0    0   -1    0 #> [325,]    0    0    0   -1    0 #> [326,]    0    0    0   -1    0 #> [327,]    0    0    0   -1    0 #> [328,]    0    0    0   -1    0 #> [329,]    0    0    0   -1    0 #> [330,]    0    0    0   -1    0 #> [331,]    0    0    0   -1    0 #> [332,]    0    0    0   -1    0 #> [333,]    0    0    0   -1    0 #> [334,]    0    0    0   -1    0 #> [335,]    0    0    0   -1    0 #> [336,]    0    0    0   -1    0 #> [337,]    0    0    0   -1    0 #> [338,]    0    0    0   -1    0 #> [339,]    0    0    0   -1    0 #> [340,]    0    0    0   -1    0 #> [341,]    0    0    0   -1    0 #> [342,]    0    0    0   -1    0 #> [343,]    0    0    0   -1    0 #> [344,]    0    0    0   -1    0 #> [345,]    0    0    0   -1    0 #> [346,]    0    0    0   -1    0 #> [347,]    0    0    0   -1    0 #> [348,]    0    0    0   -1    0 #> [349,]    0    0    0   -1    0 #> [350,]    0    0    0   -1    0 #> [351,]    0    0    0   -1    0 #> [352,]    0    0    0   -1    0 #> [353,]    0    0    0   -1    0 #> [354,]    0    0    0   -1    0 #> [355,]    0    0    0   -1    0 #> [356,]    0    0    0   -1    0 #> [357,]    0    0    0   -1    0 #> [358,]    0    0    0   -1    0 #> [359,]    0    0    0   -1    0 #> [360,]    0    0    0   -1    0 #> [361,]    0    0    0   -1    0 #> [362,]    0    0    0   -1    0 #> [363,]    0    0    0   -1    0 #> [364,]    0    0    0   -1    0 #> [365,]    0    0    0   -1    0 #> [366,]    0    0    0   -1    0 #> [367,]    0    0    0   -1    0 #> [368,]    0    0    0   -1    0 #> [369,]    0    0    0   -1    0 #> [370,]    0    0    0   -1    0 #> [371,]    0    0    0   -1    0 #> [372,]    0    0    0   -1    0 #> [373,]    0    0    0   -1    0 #> [374,]    0    0    0   -1    0 #> [375,]    0    0    0   -1    0 #> [376,]    0    0    0   -1    0 #> [377,]    0    0    0   -1    0 #> [378,]    0    0    0   -1    0 #> [379,]    0    0    0   -1    0 #> [380,]    0    0    0   -1    0 #> [381,]    0    0    0   -1    0 #> [382,]    0    0    0   -1    0 #> [383,]    0    0    0   -1    0 #> [384,]    0    0    0   -1    0 #> [385,]    0    0    0   -1    0 #> [386,]    0    0    0   -1    0 #> [387,]    0    0    0   -1    0 #> [388,]    0    0    0   -1    0 #> [389,]    0    0    0   -1    0 #> [390,]    0    0    0   -1    0 #> [391,]    0    0    0   -1    0 #> [392,]    0    0    0   -1    0 #> [393,]    0    0    0   -1    0 #> [394,]    0    0    0   -1    0 #> [395,]    0    0    0   -1    0 #> [396,]    0    0    0   -1    0 #> [397,]    0    0    0   -1    0 #> [398,]    0    0    0   -1    0 #> [399,]    0    0    0   -1    0 #> [400,]    0    0    0    0    0 #> [401,]    0    0    0    0    0 #> [402,]    0    0    0    0    0 #> [403,]    0    0    0    0    0 #> [404,]    0    0    0    0    0 #> [405,]    0    0    0    0    0 #> [406,]    0    0    0    0    0 #> [407,]    0    0    0    0    0 #> [408,]    0    0    0    0    0 #> [409,]    0    0    0    0    0 #> [410,]    0    0    0    0    0 #> [411,]    0    0    0    0    0 #> [412,]    0    0    0    0    0 #> [413,]    0    0    0    0    0 #> [414,]    0    0    0    0    0 #> [415,]    0    0    0    0    0 #> [416,]    0    0    0    0    0 #> [417,]    0    0    0    0    0 #> [418,]    0    0    0    0    0 #> [419,]    0    0    0    0    0 #> [420,]    0    0    0    0    0 #> [421,]    0    0    0    0    0 #> [422,]    0    0    0    0    0 #> [423,]    0    0    0    0    0 #> [424,]    0    0    0    0    0 #> [425,]    0    0    0    0    0 #>  #> $model$b #> [1] -210.91745  199.66569 -192.39785   84.32270  -77.78577 #>  #> $model$bcov #>               [,1]          [,2]          [,3]          [,4]          [,5] #> [1,]  1.258544e+03  5.076022e+01 -8.906666e-01 -1.197400e-05  -0.827996523 #> [2,]  5.076022e+01  1.258545e+03 -9.422003e-01 -1.454505e-05  -1.048251277 #> [3,] -8.906666e-01 -9.422003e-01  1.322416e+03  5.431398e-04 155.010519468 #> [4,] -1.197400e-05 -1.454505e-05  5.431398e-04  3.654102e+02   0.004446791 #> [5,] -8.279965e-01 -1.048251e+00  1.550105e+02  4.446791e-03 364.501084888 #>  #> $model$linearized #>   [1]  466.6369  509.1369  450.3369  465.6369  444.9369  471.6369  459.2369 #>   [8]  529.4369  895.8369  385.7369  384.5369  478.6369  509.9369  517.1369 #>  [15]  468.9369  474.8369  464.7369  489.2369  491.8369  575.2369  970.2369 #>  [22]  421.2369  421.0369  491.2369  493.8369  604.4369  506.9369  549.9369 #>  [29]  509.9369  529.3369  563.1369  629.7369 1045.9369  522.8369  459.0369 #>  [36]  532.3369  594.2369  706.8369  568.3369  609.3369  589.0369  569.6369 #>  [43]  643.6369  703.6369 1194.0369  577.0369  484.7369  553.9369  600.8369 #>  [50]  758.1369  559.9369  669.7369  587.6369  668.4369  672.1369  707.4369 #>  [57] 1374.4369  620.4369  519.7369  606.4369  680.6369  720.5369  677.0369 #>  [64]  727.4369  608.1369  678.8369  715.6369  749.7369 1466.6369  637.5369 #>  [71]  557.6369  684.6369  722.2369  747.3369  728.5369  690.0369  657.4369 #>  [78]  729.8369  736.1369  876.8369 1576.5369  638.0369  558.5369  725.5369 #>  [85]  704.1369  771.3369  792.8369  721.6369  730.3369  764.4369  758.2369 #>  [92]  930.3369 1575.9369  684.7369  592.7369  733.3369  750.6369  822.0369 #>  [99]  838.9369  716.8369  765.9369  747.6369  793.1369  938.0369 1569.6369 #> [106]  700.5369  611.2369  725.7369  754.7369  834.7369  753.4369  801.0369 #> [113]  776.9369  748.0369  865.1369  951.2369 1606.8369  746.5369  672.4369 #> [120]  708.0369  837.9369  885.1369  832.5369  794.7369  730.1369  826.3369 #> [127]  909.0369  975.1369 1657.4369  768.6369  649.5369  760.6369  847.2369 #> [134]  913.1369  893.6369  778.0369  735.2369  851.2369  893.4369  976.5369 #> [141] 1717.0369  752.2369  670.9369  828.0369  838.2369  914.5369  919.1369 #> [148]  789.4369  805.3369  893.5369  941.1369 1006.9369 1824.0369  758.9369 #> [155]  689.0369  817.7369  912.5369  933.7369  913.3369  887.1369  880.4369 #> [162]  863.3369  927.1369 1073.9369 1863.7369  839.6369  743.6369  818.5369 #> [169]  901.7369  969.3369  915.1369  914.5369  895.4369  840.2369  940.2369 #> [176] 1088.1369 1844.1369  847.4369  733.9369  864.4369  855.5369 1001.3369 #> [183]  836.7369  977.6369  842.5369  945.6369  983.4369 1117.8369 1885.6369 #> [190]  923.8369  722.7369  829.4369  976.6369  976.7369  855.9369 1048.8369 #> [197]  876.4369  945.9369 1027.8369 1144.2369 1982.2369  948.5369  744.9369 #> [204]  909.7369  959.7369 1017.7369  900.9369 1061.0369  906.0369 1008.8369 #> [211] 1050.2369 1213.7369 2076.1369  931.4369  804.7369  908.4369 1031.2369 #> [218] 1058.8369  972.3712 1076.7544 1015.7369 1061.1369 1076.9369 1239.0369 #> [225] 2184.0369  978.4369  821.1369 1024.0369 1045.7369 1130.0369 1031.4369 #> [232] 1107.3369  969.5369 1019.4369 1138.5369 1351.3369 2276.0369 1034.4369 #> [239]  847.9369 1050.4369 1081.8369 1197.4369 1149.5369 1082.2369 1072.4369 #> [246] 1066.6369 1217.9369 1501.6369 2345.1369 1105.8369  907.0369 1099.2369 #> [253] 1228.9369 1243.6369 1244.4369 1188.5369 1107.7369 1204.7369 1322.6369 #> [260] 1534.7369 2430.7369 1189.4369  996.3369 1137.9369 1283.6369 1286.8369 #> [267] 1390.6369 1312.4369 1173.3369 1324.4369 1364.8369 1543.2369 2507.3369 #> [274] 1252.8369 1043.8369 1307.3369 1352.6348 1270.7369 1460.7369 1374.4227 #> [281] 1295.0227 1362.1227 1398.7227 1624.7227 2620.3227 1278.0227 1122.0227 #> [288] 1288.8227 1432.9227 1351.9227 1513.3227 1496.3227 1323.5227 1303.4227 #> [295] 1428.9227 1707.6227 2695.4227 1351.6227 1131.3227 1415.9227 1386.9227 #> [302] 1449.4227 1575.8227 1546.6227 1399.8227 1437.6227 1524.9227 1772.2227 #> [309] 2831.3227 1482.1227 1224.8227 1436.0227 1480.9227 1505.4227 1485.9227 #> [316] 1666.6227 1352.7227 1467.6227 1536.7227 1760.2227 2970.4227 1535.3227 #> [323] 1140.9227 1471.2227 1593.4227 1603.7227 1584.8227 1655.0227 1425.8227 #> [330] 1484.2227 1618.6227 1820.9227 2879.4227 1553.4227 1196.2227 1464.2227 #> [337] 1474.0227 1511.5227 1635.7227 1665.3227 1408.3227 1506.3227 1549.2227 #> [344] 1789.8227 2836.7227 1496.9227 1201.8227 1405.9227 1556.9227 1493.2227 #> [351] 1556.2227 1616.8227 1377.8227 1430.0227 1489.0227 1744.3227 2814.8227 #> [358] 1446.7227 1216.0227 1433.5227 1475.5227 1541.2227 1700.7227 1507.7227 #> [365] 1443.3227 1452.1227 1526.9227 1757.2227 2837.6227 1481.7227 1197.9227 #> [372] 1481.6227 1423.4227 1526.2227 1621.7227 1474.9227 1421.5227 1443.7227 #> [379] 1547.6227 1753.2227 2809.8227 1535.3227 1149.2227 1377.5227 1527.2227 #> [386] 1496.1227 1545.9227 1585.9227 1338.5227 1440.7227 1563.0227 1772.0227 #> [393] 2841.2227 1555.5227 1138.1227 1451.5227 1526.5227 1513.0227 1565.2227 #> [400] 1540.9000 1331.9000 1400.1000 1566.3000 1730.5000 2913.6000 1519.2000 #> [407] 1155.8000 1451.5000 1451.0000 1449.7000 1596.1000 1468.3000 1293.9000 #> [414] 1393.5000 1497.4000 1684.3000 2850.4000 1428.5000 1092.4000 1370.3000 #> [421] 1522.6000 1452.4000 1557.2000 1445.5000 1303.1000 #>  #>  #> $likelihood #> $likelihood$initial #> $likelihood$initial$ll #> [1] -2218.964 #>  #> $likelihood$initial$ssq #> [1] 1139531 #>  #> $likelihood$initial$nobs #> [1] 425 #>  #> $likelihood$initial$neffective #> [1] -1 #>  #> $likelihood$initial$nparams #> [1] 3 #>  #> $likelihood$initial$df #> [1] 409 #>  #> $likelihood$initial$aic #> [1] 4443.928 #>  #> $likelihood$initial$aicc #> [1] 4443.987 #>  #> $likelihood$initial$bic #> [1] 4455.991 #>  #> $likelihood$initial$bic2 #> [1] 10.81551 #>  #> $likelihood$initial$bicc #> [1] 7.954332 #>  #> $likelihood$initial$hannanquinn #> [1] 4448.7 #>  #>  #> $likelihood$final #> $likelihood$final$ll #> [1] -2167.948 #>  #> $likelihood$final$ssq #> [1] 892303.8 #>  #> $likelihood$final$nobs #> [1] 425 #>  #> $likelihood$final$neffective #> [1] -1 #>  #> $likelihood$final$nparams #> [1] 6 #>  #> $likelihood$final$df #> [1] 406 #>  #> $likelihood$final$aic #> [1] 4347.896 #>  #> $likelihood$final$aicc #> [1] 4348.104 #>  #> $likelihood$final$bic #> [1] 4372.023 #>  #> $likelihood$final$bic2 #> [1] 10.61171 #>  #> $likelihood$final$bicc #> [1] 7.753609 #>  #> $likelihood$final$hannanquinn #> [1] 4357.439 #>  #>  #>  #> attr(,\"class\") #> [1] \"JD3_REGARIMA_OUTLIERS\""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":null,"dir":"Reference","previous_headings":"","what":"Display a list of all the available output objects — userdefined_variables_x13","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"Function generating comprehensive list available output variables (series, parameters, diagnostics) estimation process  x13(), regarima() x11() functions. items available default estimation output remainder can added using userdefined parameter. User-defined objects can retrieved list lists generated estimation process","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"","code":"userdefined_variables_x13(x = c(\"X-13\", \"RegArima\", \"X-11\"))"},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"x character indicate estimation function output items list displayed.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"vector containing names available output objects (series, diagnostics, parameters)","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"information examples related 'JDemetra+' features online documentation: https://jdemetra-new-documentation.netlify.app/","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"","code":"userdefined_variables_x13(\"x13\") #>   [1] \"adjust\"                               #>   [2] \"arima.bd\"                             #>   [3] \"arima.bp\"                             #>   [4] \"arima.bphi(*)\"                        #>   [5] \"arima.bq\"                             #>   [6] \"arima.btheta(*)\"                      #>   [7] \"arima.d\"                              #>   [8] \"arima.p\"                              #>   [9] \"arima.phi(*)\"                         #>  [10] \"arima.q\"                              #>  [11] \"arima.theta(*)\"                       #>  [12] \"benchmarking.original\"                #>  [13] \"benchmarking.result\"                  #>  [14] \"benchmarking.target\"                  #>  [15] \"cal\"                                  #>  [16] \"cal_b\"                                #>  [17] \"cal_b(?)\"                             #>  [18] \"cal_f\"                                #>  [19] \"cal_f(?)\"                             #>  [20] \"decomposition.b1\"                     #>  [21] \"decomposition.b10\"                    #>  [22] \"decomposition.b11\"                    #>  [23] \"decomposition.b13\"                    #>  [24] \"decomposition.b17\"                    #>  [25] \"decomposition.b2\"                     #>  [26] \"decomposition.b20\"                    #>  [27] \"decomposition.b3\"                     #>  [28] \"decomposition.b4\"                     #>  [29] \"decomposition.b5\"                     #>  [30] \"decomposition.b6\"                     #>  [31] \"decomposition.b7\"                     #>  [32] \"decomposition.b8\"                     #>  [33] \"decomposition.b9\"                     #>  [34] \"decomposition.c1\"                     #>  [35] \"decomposition.c10\"                    #>  [36] \"decomposition.c11\"                    #>  [37] \"decomposition.c13\"                    #>  [38] \"decomposition.c17\"                    #>  [39] \"decomposition.c2\"                     #>  [40] \"decomposition.c20\"                    #>  [41] \"decomposition.c4\"                     #>  [42] \"decomposition.c5\"                     #>  [43] \"decomposition.c6\"                     #>  [44] \"decomposition.c7\"                     #>  [45] \"decomposition.c9\"                     #>  [46] \"decomposition.d1\"                     #>  [47] \"decomposition.d10\"                    #>  [48] \"decomposition.d11\"                    #>  [49] \"decomposition.d12\"                    #>  [50] \"decomposition.d13\"                    #>  [51] \"decomposition.d2\"                     #>  [52] \"decomposition.d4\"                     #>  [53] \"decomposition.d5\"                     #>  [54] \"decomposition.d6\"                     #>  [55] \"decomposition.d7\"                     #>  [56] \"decomposition.d8\"                     #>  [57] \"decomposition.d9\"                     #>  [58] \"decomposition.d9-global-msr\"          #>  [59] \"decomposition.d9-msr\"                 #>  [60] \"decomposition.d9-msr-table\"           #>  [61] \"decomposition.i_cmp\"                  #>  [62] \"decomposition.s_cmp\"                  #>  [63] \"decomposition.s_cmp_b\"                #>  [64] \"decomposition.s_cmp_f\"                #>  [65] \"decomposition.sa_cmp\"                 #>  [66] \"decomposition.sa_cmp_b\"               #>  [67] \"decomposition.sa_cmp_f\"               #>  [68] \"decomposition.seasonal-filters\"       #>  [69] \"decomposition.si_cmp\"                 #>  [70] \"decomposition.t_cmp\"                  #>  [71] \"decomposition.t_cmp_b\"                #>  [72] \"decomposition.t_cmp_f\"                #>  [73] \"decomposition.trend-filter\"           #>  [74] \"decomposition.x11-all\"                #>  [75] \"decomposition.y_cmp\"                  #>  [76] \"decomposition.y_cmp_b\"                #>  [77] \"decomposition.y_cmp_f\"                #>  [78] \"det\"                                  #>  [79] \"det_b(?)\"                             #>  [80] \"det_f(?)\"                             #>  [81] \"det_i\"                                #>  [82] \"det_i_b(?)\"                           #>  [83] \"det_i_f(?)\"                           #>  [84] \"det_s\"                                #>  [85] \"det_s_b(?)\"                           #>  [86] \"det_s_f(?)\"                           #>  [87] \"det_t\"                                #>  [88] \"det_t_b(?)\"                           #>  [89] \"det_t_f(?)\"                           #>  [90] \"diagnostics.fcast-insample-mean\"      #>  [91] \"diagnostics.fcast-outsample-mean\"     #>  [92] \"diagnostics.fcast-outsample-variance\" #>  [93] \"diagnostics.seas-i-combined\"          #>  [94] \"diagnostics.seas-i-combined3\"         #>  [95] \"diagnostics.seas-i-evolutive\"         #>  [96] \"diagnostics.seas-i-f\"                 #>  [97] \"diagnostics.seas-i-friedman\"          #>  [98] \"diagnostics.seas-i-kw\"                #>  [99] \"diagnostics.seas-i-periodogram\"       #> [100] \"diagnostics.seas-i-qs\"                #> [101] \"diagnostics.seas-i-spectralpeaks\"     #> [102] \"diagnostics.seas-i-stable\"            #> [103] \"diagnostics.seas-lin-combined\"        #> [104] \"diagnostics.seas-lin-evolutive\"       #> [105] \"diagnostics.seas-lin-f\"               #> [106] \"diagnostics.seas-lin-friedman\"        #> [107] \"diagnostics.seas-lin-kw\"              #> [108] \"diagnostics.seas-lin-periodogram\"     #> [109] \"diagnostics.seas-lin-qs\"              #> [110] \"diagnostics.seas-lin-spectralpeaks\"   #> [111] \"diagnostics.seas-lin-stable\"          #> [112] \"diagnostics.seas-res-combined\"        #> [113] \"diagnostics.seas-res-combined3\"       #> [114] \"diagnostics.seas-res-evolutive\"       #> [115] \"diagnostics.seas-res-f\"               #> [116] \"diagnostics.seas-res-friedman\"        #> [117] \"diagnostics.seas-res-kw\"              #> [118] \"diagnostics.seas-res-periodogram\"     #> [119] \"diagnostics.seas-res-qs\"              #> [120] \"diagnostics.seas-res-spectralpeaks\"   #> [121] \"diagnostics.seas-res-stable\"          #> [122] \"diagnostics.seas-sa-ac1\"              #> [123] \"diagnostics.seas-sa-combined\"         #> [124] \"diagnostics.seas-sa-combined3\"        #> [125] \"diagnostics.seas-sa-evolutive\"        #> [126] \"diagnostics.seas-sa-f\"                #> [127] \"diagnostics.seas-sa-friedman\"         #> [128] \"diagnostics.seas-sa-kw\"               #> [129] \"diagnostics.seas-sa-periodogram\"      #> [130] \"diagnostics.seas-sa-qs\"               #> [131] \"diagnostics.seas-sa-spectralpeaks\"    #> [132] \"diagnostics.seas-sa-stable\"           #> [133] \"diagnostics.seas-si-combined\"         #> [134] \"diagnostics.seas-si-combined3\"        #> [135] \"diagnostics.seas-si-evolutive\"        #> [136] \"diagnostics.seas-si-stable\"           #> [137] \"diagnostics.td-i-all\"                 #> [138] \"diagnostics.td-i-last\"                #> [139] \"diagnostics.td-res-all\"               #> [140] \"diagnostics.td-res-last\"              #> [141] \"diagnostics.td-sa-all\"                #> [142] \"diagnostics.td-sa-last\"               #> [143] \"ee\"                                   #> [144] \"ee_b(?)\"                              #> [145] \"ee_f(?)\"                              #> [146] \"finals.d11\"                           #> [147] \"finals.d11a\"                          #> [148] \"finals.d11b\"                          #> [149] \"finals.d12\"                           #> [150] \"finals.d12a\"                          #> [151] \"finals.d12b\"                          #> [152] \"finals.d13\"                           #> [153] \"finals.d16\"                           #> [154] \"finals.d16a\"                          #> [155] \"finals.d16b\"                          #> [156] \"finals.d18\"                           #> [157] \"finals.d18a\"                          #> [158] \"finals.d18b\"                          #> [159] \"finals.e1\"                            #> [160] \"finals.e11\"                           #> [161] \"finals.e2\"                            #> [162] \"finals.e3\"                            #> [163] \"i\"                                    #> [164] \"l\"                                    #> [165] \"likelihood.adjustedll\"                #> [166] \"likelihood.aic\"                       #> [167] \"likelihood.aicc\"                      #> [168] \"likelihood.bic\"                       #> [169] \"likelihood.bic2\"                      #> [170] \"likelihood.bicc\"                      #> [171] \"likelihood.df\"                        #> [172] \"likelihood.hannanquinn\"               #> [173] \"likelihood.ll\"                        #> [174] \"likelihood.neffectiveobs\"             #> [175] \"likelihood.nobs\"                      #> [176] \"likelihood.nparams\"                   #> [177] \"likelihood.ssqerr\"                    #> [178] \"log\"                                  #> [179] \"m-statistics.m1\"                      #> [180] \"m-statistics.m10\"                     #> [181] \"m-statistics.m11\"                     #> [182] \"m-statistics.m2\"                      #> [183] \"m-statistics.m3\"                      #> [184] \"m-statistics.m4\"                      #> [185] \"m-statistics.m5\"                      #> [186] \"m-statistics.m6\"                      #> [187] \"m-statistics.m7\"                      #> [188] \"m-statistics.m8\"                      #> [189] \"m-statistics.m9\"                      #> [190] \"m-statistics.q\"                       #> [191] \"m-statistics.q-m2\"                    #> [192] \"mhe\"                                  #> [193] \"mhe_b(?)\"                             #> [194] \"mhe_f(?)\"                             #> [195] \"omhe\"                                 #> [196] \"omhe_b(?)\"                            #> [197] \"omhe_f(?)\"                            #> [198] \"out\"                                  #> [199] \"out_b(?)\"                             #> [200] \"out_f(?)\"                             #> [201] \"out_i\"                                #> [202] \"out_i_b(?)\"                           #> [203] \"out_i_f(?)\"                           #> [204] \"out_s\"                                #> [205] \"out_s_b(?)\"                           #> [206] \"out_s_f(?)\"                           #> [207] \"out_t\"                                #> [208] \"out_t_b(?)\"                           #> [209] \"out_t_f(?)\"                           #> [210] \"period\"                               #> [211] \"preadjustment.a1\"                     #> [212] \"preadjustment.a1a\"                    #> [213] \"preadjustment.a1b\"                    #> [214] \"preadjustment.a6\"                     #> [215] \"preadjustment.a7\"                     #> [216] \"preadjustment.a8\"                     #> [217] \"preadjustment.a8i\"                    #> [218] \"preadjustment.a8s\"                    #> [219] \"preadjustment.a8t\"                    #> [220] \"preadjustment.a9\"                     #> [221] \"preadjustment.a9sa\"                   #> [222] \"preadjustment.a9ser\"                  #> [223] \"preadjustment.a9u\"                    #> [224] \"reg_i\"                                #> [225] \"reg_i_b(?)\"                           #> [226] \"reg_i_f(?)\"                           #> [227] \"reg_s\"                                #> [228] \"reg_s_b(?)\"                           #> [229] \"reg_s_f(?)\"                           #> [230] \"reg_sa\"                               #> [231] \"reg_sa_b(?)\"                          #> [232] \"reg_sa_f(?)\"                          #> [233] \"reg_t\"                                #> [234] \"reg_t_b(?)\"                           #> [235] \"reg_t_f(?)\"                           #> [236] \"reg_u\"                                #> [237] \"reg_u_b(?)\"                           #> [238] \"reg_u_f(?)\"                           #> [239] \"reg_y\"                                #> [240] \"reg_y_b(?)\"                           #> [241] \"reg_y_f(?)\"                           #> [242] \"regression.description\"               #> [243] \"regression.details.coefficients\"      #> [244] \"regression.details.covar\"             #> [245] \"regression.details.covar-ml\"          #> [246] \"regression.easter\"                    #> [247] \"regression.espan.end\"                 #> [248] \"regression.espan.missing\"             #> [249] \"regression.espan.n\"                   #> [250] \"regression.espan.start\"               #> [251] \"regression.leaster\"                   #> [252] \"regression.lp\"                        #> [253] \"regression.mean\"                      #> [254] \"regression.missing(*)\"                #> [255] \"regression.ml.parameters\"             #> [256] \"regression.ml.pcorr\"                  #> [257] \"regression.ml.pcovar\"                 #> [258] \"regression.ml.pcovar-ml\"              #> [259] \"regression.ml.pscore\"                 #> [260] \"regression.mu\"                        #> [261] \"regression.nao\"                       #> [262] \"regression.nlp\"                       #> [263] \"regression.nls\"                       #> [264] \"regression.nmh\"                       #> [265] \"regression.nout\"                      #> [266] \"regression.nso\"                       #> [267] \"regression.ntc\"                       #> [268] \"regression.ntd\"                       #> [269] \"regression.nusers\"                    #> [270] \"regression.out(*)\"                    #> [271] \"regression.outlier(*)\"                #> [272] \"regression.td(*)\"                     #> [273] \"regression.type\"                      #> [274] \"regression.user(*)\"                   #> [275] \"residuals.bp\"                         #> [276] \"residuals.bp2\"                        #> [277] \"residuals.doornikhansen\"              #> [278] \"residuals.kurtosis\"                   #> [279] \"residuals.lb\"                         #> [280] \"residuals.lb2\"                        #> [281] \"residuals.lruns\"                      #> [282] \"residuals.ludruns\"                    #> [283] \"residuals.mean\"                       #> [284] \"residuals.nruns\"                      #> [285] \"residuals.nudruns\"                    #> [286] \"residuals.res\"                        #> [287] \"residuals.seasbp\"                     #> [288] \"residuals.seaslb\"                     #> [289] \"residuals.ser\"                        #> [290] \"residuals.skewness\"                   #> [291] \"residuals.tsres\"                      #> [292] \"residuals.type\"                       #> [293] \"s\"                                    #> [294] \"s_b\"                                  #> [295] \"s_f\"                                  #> [296] \"sa\"                                   #> [297] \"sa_b\"                                 #> [298] \"sa_f\"                                 #> [299] \"span.end\"                             #> [300] \"span.missing\"                         #> [301] \"span.n\"                               #> [302] \"span.start\"                           #> [303] \"t\"                                    #> [304] \"t_b\"                                  #> [305] \"t_f\"                                  #> [306] \"tde\"                                  #> [307] \"tde_b(?)\"                             #> [308] \"tde_f(?)\"                             #> [309] \"variancedecomposition.cycle\"          #> [310] \"variancedecomposition.irregular\"      #> [311] \"variancedecomposition.others\"         #> [312] \"variancedecomposition.seasonality\"    #> [313] \"variancedecomposition.tdh\"            #> [314] \"variancedecomposition.total\"          #> [315] \"y\"                                    #> [316] \"y_b\"                                  #> [317] \"y_b(?)\"                               #> [318] \"y_eb(?)\"                              #> [319] \"y_ef(?)\"                              #> [320] \"y_f\"                                  #> [321] \"y_f(?)\"                               #> [322] \"yc\"                                   #> [323] \"ycal\"                                 #> [324] \"ycal_f(?)\"                            userdefined_variables_x13(\"regarima\") #>   [1] \"adjust\"                          \"arima.bd\"                        #>   [3] \"arima.bp\"                        \"arima.bphi(*)\"                   #>   [5] \"arima.bq\"                        \"arima.btheta(*)\"                 #>   [7] \"arima.d\"                         \"arima.p\"                         #>   [9] \"arima.phi(*)\"                    \"arima.q\"                         #>  [11] \"arima.theta(*)\"                  \"cal\"                             #>  [13] \"cal_b(?)\"                        \"cal_f(?)\"                        #>  [15] \"det\"                             \"det_b(?)\"                        #>  [17] \"det_f(?)\"                        \"det_i\"                           #>  [19] \"det_i_b(?)\"                      \"det_i_f(?)\"                      #>  [21] \"det_s\"                           \"det_s_b(?)\"                      #>  [23] \"det_s_f(?)\"                      \"det_t\"                           #>  [25] \"det_t_b(?)\"                      \"det_t_f(?)\"                      #>  [27] \"ee\"                              \"ee_b(?)\"                         #>  [29] \"ee_f(?)\"                         \"l\"                               #>  [31] \"likelihood.adjustedll\"           \"likelihood.aic\"                  #>  [33] \"likelihood.aicc\"                 \"likelihood.bic\"                  #>  [35] \"likelihood.bic2\"                 \"likelihood.bicc\"                 #>  [37] \"likelihood.df\"                   \"likelihood.hannanquinn\"          #>  [39] \"likelihood.ll\"                   \"likelihood.neffectiveobs\"        #>  [41] \"likelihood.nobs\"                 \"likelihood.nparams\"              #>  [43] \"likelihood.ssqerr\"               \"log\"                             #>  [45] \"mhe\"                             \"mhe_b(?)\"                        #>  [47] \"mhe_f(?)\"                        \"omhe\"                            #>  [49] \"omhe_b(?)\"                       \"omhe_f(?)\"                       #>  [51] \"out\"                             \"out_b(?)\"                        #>  [53] \"out_f(?)\"                        \"out_i\"                           #>  [55] \"out_i_b(?)\"                      \"out_i_f(?)\"                      #>  [57] \"out_s\"                           \"out_s_b(?)\"                      #>  [59] \"out_s_f(?)\"                      \"out_t\"                           #>  [61] \"out_t_b(?)\"                      \"out_t_f(?)\"                      #>  [63] \"period\"                          \"reg_i\"                           #>  [65] \"reg_i_b(?)\"                      \"reg_i_f(?)\"                      #>  [67] \"reg_s\"                           \"reg_s_b(?)\"                      #>  [69] \"reg_s_f(?)\"                      \"reg_sa\"                          #>  [71] \"reg_sa_b(?)\"                     \"reg_sa_f(?)\"                     #>  [73] \"reg_t\"                           \"reg_t_b(?)\"                      #>  [75] \"reg_t_f(?)\"                      \"reg_u\"                           #>  [77] \"reg_u_b(?)\"                      \"reg_u_f(?)\"                      #>  [79] \"reg_y\"                           \"reg_y_b(?)\"                      #>  [81] \"reg_y_f(?)\"                      \"regression.description\"          #>  [83] \"regression.details.coefficients\" \"regression.details.covar\"        #>  [85] \"regression.details.covar-ml\"     \"regression.easter\"               #>  [87] \"regression.espan.end\"            \"regression.espan.missing\"        #>  [89] \"regression.espan.n\"              \"regression.espan.start\"          #>  [91] \"regression.leaster\"              \"regression.lp\"                   #>  [93] \"regression.mean\"                 \"regression.missing(*)\"           #>  [95] \"regression.ml.parameters\"        \"regression.ml.pcorr\"             #>  [97] \"regression.ml.pcovar\"            \"regression.ml.pcovar-ml\"         #>  [99] \"regression.ml.pscore\"            \"regression.mu\"                   #> [101] \"regression.nao\"                  \"regression.nlp\"                  #> [103] \"regression.nls\"                  \"regression.nmh\"                  #> [105] \"regression.nout\"                 \"regression.nso\"                  #> [107] \"regression.ntc\"                  \"regression.ntd\"                  #> [109] \"regression.nusers\"               \"regression.out(*)\"               #> [111] \"regression.outlier(*)\"           \"regression.td(*)\"                #> [113] \"regression.type\"                 \"regression.user(*)\"              #> [115] \"residuals.bp\"                    \"residuals.bp2\"                   #> [117] \"residuals.doornikhansen\"         \"residuals.kurtosis\"              #> [119] \"residuals.lb\"                    \"residuals.lb2\"                   #> [121] \"residuals.lruns\"                 \"residuals.ludruns\"               #> [123] \"residuals.mean\"                  \"residuals.nruns\"                 #> [125] \"residuals.nudruns\"               \"residuals.res\"                   #> [127] \"residuals.seasbp\"                \"residuals.seaslb\"                #> [129] \"residuals.ser\"                   \"residuals.skewness\"              #> [131] \"residuals.tsres\"                 \"residuals.type\"                  #> [133] \"span.end\"                        \"span.missing\"                    #> [135] \"span.n\"                          \"span.start\"                      #> [137] \"tde\"                             \"tde_b(?)\"                        #> [139] \"tde_f(?)\"                        \"y\"                               #> [141] \"y_b(?)\"                          \"y_eb(?)\"                         #> [143] \"y_ef(?)\"                         \"y_f(?)\"                          #> [145] \"yc\"                              \"ycal\"                            #> [147] \"ycal_f(?)\"                       userdefined_variables_x13(\"x11\") #>  [1] \"b1\"               \"b10\"              \"b11\"              \"b13\"              #>  [5] \"b17\"              \"b2\"               \"b20\"              \"b3\"               #>  [9] \"b4\"               \"b5\"               \"b6\"               \"b7\"               #> [13] \"b8\"               \"b9\"               \"c1\"               \"c10\"              #> [17] \"c11\"              \"c13\"              \"c17\"              \"c2\"               #> [21] \"c20\"              \"c4\"               \"c5\"               \"c6\"               #> [25] \"c7\"               \"c9\"               \"d1\"               \"d10\"              #> [29] \"d11\"              \"d12\"              \"d13\"              \"d2\"               #> [33] \"d4\"               \"d5\"               \"d6\"               \"d7\"               #> [37] \"d8\"               \"d9\"               \"d9-global-msr\"    \"d9-msr\"           #> [41] \"d9-msr-table\"     \"seasonal-filters\" \"trend-filter\"     \"x11-all\""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":null,"dir":"Reference","previous_headings":"","what":"X-11 Decomposition Algorithm — x11","title":"X-11 Decomposition Algorithm — x11","text":"X-11 Decomposition Algorithm","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"X-11 Decomposition Algorithm — x11","text":"","code":"x11(ts, spec = x11_spec(), userdefined = NULL)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"X-11 Decomposition Algorithm — x11","text":"ts univariate time series. spec specification. userdefined vector containing additional output variables (see x13_dictionary()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"X-11 Decomposition Algorithm — x11","text":"","code":"y <- rjd3toolkit::ABS$X0.2.09.10.M x11_spec <- x11_spec() x11(y, x11_spec) #> Last values #>                d1 d2 d4        d5       d6       d7        d8        d9 #> Mar 2017 1370.300 NA NA 0.8961795 1529.046 1549.437 0.8843860       NaN #> Apr 2017 1508.745 NA NA 0.9370285 1610.138 1551.362 0.9814599 0.9725289 #> May 2017 1452.400 NA NA 0.9240579 1571.763 1552.613 0.9354553       NaN #> Jun 2017 1557.200 NA NA 0.9906046 1571.969 1554.256 1.0018939       NaN #> Jul 2017 1451.753 NA NA 0.9669725 1501.339 1554.036 0.9301585 0.9341824 #> Aug 2017 1303.100 NA NA 0.8370380 1556.799 1554.112 0.8384851       NaN #>                d10      d11      d12       d13 #> Mar 2017 0.8911974 1537.594 1549.121 0.9925591 #> Apr 2017 0.9472835 1607.333 1550.650 1.0365542 #> May 2017 0.9277056 1565.583 1551.579 1.0090258 #> Jun 2017 0.9945226 1565.776 1552.914 1.0082826 #> Jul 2017 0.9598855 1505.909 1552.756 0.9698294 #> Aug 2017 0.8381839 1554.671 1552.438 1.0014382 x11_spec <- set_x11(x11_spec, henderson.filter = 13) x11(y, x11_spec) #> Last values #>                d1 d2 d4        d5       d6       d7        d8        d9 #> Mar 2017 1370.300 NA NA 0.8957968 1529.700 1556.611 0.8803097       NaN #> Apr 2017 1521.625 NA NA 0.9391175 1620.271 1562.636 0.9743791 0.9737554 #> May 2017 1452.400 NA NA 0.9239661 1571.919 1563.794 0.9287669       NaN #> Jun 2017 1557.200 NA NA 0.9916495 1570.313 1560.504 0.9978827       NaN #> Jul 2017 1453.790 NA NA 0.9669146 1503.535 1555.034 0.9295618 0.9348928 #> Aug 2017 1303.100 NA NA 0.8369658 1556.933 1547.539 0.8420469       NaN #>                d10      d11      d12       d13 #> Mar 2017 0.8899565 1539.738 1556.256 0.9893865 #> Apr 2017 0.9498667 1602.962 1560.758 1.0270404 #> May 2017 0.9267578 1567.184 1560.959 1.0039883 #> Jun 2017 0.9952607 1564.615 1557.551 1.0045354 #> Jul 2017 0.9607704 1504.522 1552.689 0.9689783 #> Aug 2017 0.8393622 1552.488 1545.113 1.0047731"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":null,"dir":"Reference","previous_headings":"","what":"Set X-11 Specification — set_x11","title":"Set X-11 Specification — set_x11","text":"Set X-11 Specification","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set X-11 Specification — set_x11","text":"","code":"set_x11(   x,   mode = c(NA, \"Undefined\", \"Additive\", \"Multiplicative\", \"LogAdditive\",     \"PseudoAdditive\"),   seasonal.comp = NA,   seasonal.filter = NA,   henderson.filter = NA,   lsigma = NA,   usigma = NA,   fcasts = NA,   bcasts = NA,   calendar.sigma = c(NA, \"None\", \"Signif\", \"All\", \"Select\"),   sigma.vector = NA,   exclude.forecast = NA,   bias = c(NA, \"LEGACY\") )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set X-11 Specification — set_x11","text":"x specification modified, object class \"JD3_X11_SPEC\", default X11 spec can obtained 'x=x11_spec()' mode character: decomposition mode. Determines mode seasonal adjustment decomposition performed: \"Undefined\" - assumption concerning relationship time series components made; \"Additive\" - assumes additive relationship; \"Multiplicative\" - assumes multiplicative relationship; \"LogAdditive\" - performs additive decomposition logarithms series adjusted; \"PseudoAdditive\" - assumes pseudo-additive relationship. changed program, needed. seasonal.comp logical: TRUE, program computes seasonal component. Otherwise, seasonal component estimated values set 0 (additive decomposition) 1 (multiplicative decomposition). seasonal.filter vector character(s) specifying seasonal moving average (.e. seasonal filter) used estimate seasonal factors entire series. vector can length: 1 - seasonal filter used periods (e.g.: seasonal.filter = \"Msr\" seasonal.filter = \"S3X3\" ); different value quarter (length 4) month (length 12) - (e.g. quarterly series: seasonal.filter = c(\"S3X3\", \"Msr\", \"S3X3\", \"Msr\")). Possible filters : \"Msr\", \"Stable\", \"X11Default\", \"S3X1\", \"S3X3\", \"S3X5\", \"S3X9\", \"S3X15\". \"Msr\" - program chooses final seasonal filter automatically. henderson.filter numeric: length Henderson filter (odd number 3 101). henderson.filter = 0 automatic selection Henderson filter's length trend estimation enabled. lsigma numeric: lower sigma boundary detection extreme values, > 0.5, default=1.5. usigma numeric: upper sigma boundary detection extreme values, > lsigma, default=2.5. bcasts, fcasts numeric: number backasts (bcasts) forecasts (fcasts) generated RegARIMA model periods (positive values) years (negative values).Default values: fcasts=-1 bcasts=0. calendar.sigma character specify standard errors used extreme values detection adjustment computed: 5 year spans irregulars (\"None\", default value); separately calendar period (\"\"); separately period Cochran's hypothesis test determines irregular component heteroskedastic calendar month/quarter (\"Signif\"); separately two complementary sets calendar months/quarters specified x11.sigmaVector parameter (\"Select\", see parameter sigma.vector). sigma.vector vector specify one two groups periods standard errors used extreme values detection adjustment computed separately. used calendar.sigma = \"Select\". Possible values : 1 2. exclude.forecast Boolean exclude forecasts backcasts. TRUE, RegARIMA model forecasts backcasts used detection extreme values seasonal adjustment routines.Default= FALSE. bias TODO.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set X-11 Specification — set_x11","text":"\"JD3_X11_SPEC\" object, containing parameters.","code":""},{"path":[]},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set X-11 Specification — set_x11","text":"","code":"init_spec <- x11_spec() new_spec <- set_x11(init_spec,                    mode = \"LogAdditive\",                    seasonal.comp = 1,                    seasonal.filter = \"S3X9\",                    henderson.filter = 7,                    lsigma = 1.7,                    usigma = 2.7,                    fcasts = -1,                    bcasts = -1,                    calendar.sigma =\"All\",                    sigma.vector = NA,                    exclude.forecast = FALSE,                    bias = \"LEGACY\")"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":null,"dir":"Reference","previous_headings":"","what":"Seasonal Adjustment with X13-ARIMA — x13","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"Seasonal Adjustment  X13-ARIMA","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"","code":"x13(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )  x13_fast(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )  .jx13(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"ts univariate time series. spec model specification. Can either name predefined specification user-defined specification. context list external regressors (calendar ) used estimation userdefined vector containing additional output variables (see x13_dictionary()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"x13() function returns list results, estimation specification result specification, x13_fast() faster function returns results. .jx13() functions returns results java object allow customize outputs packages (use rjd3toolkit::dictionary() get list variables rjd3toolkit::result() get specific variable). estimation functions x13() x13_fast() can directly use specification name (string). want customize specification create specification object first.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"","code":"y = rjd3toolkit::ABS$X0.2.09.10.M x13_fast(y,\"rsa3\") #> RegARIMA #> Log-transformation: yes  #> SARIMA model:  (2,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.38042    0.06517   5.838 #> phi(2)     0.21398    0.06040   3.543 #> theta(1)  -0.70246    0.05146 -13.650 #> btheta(1) -0.56259    0.06648  -8.462 #>  #> Regression model: #>                 Estimate Std. Error T-stat #> TC (2000-06-01)  0.15476    0.03158  4.900 #> AO (2000-07-01) -0.29505    0.04425 -6.668 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  7  #>  #> Loglikelihood:  720.2196  #> Adjusted loglikelihood:  -2147.407  #>  #> Standard error of the regression (ML estimate):  0.04181753  #> AIC:  4308.814  #> AICC:  4309.092  #> BIC:  4336.962  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.095 #> m2    0.097 #> m3    2.384 #> m4    0.403 #> m5    1.940 #> m6    0.179 #> m7    0.053 #> m8    0.176 #> m9    0.047 #> m10   0.157 #> m11   0.154 #> q     0.560 #> qm2   0.617 #>  #> Final filters:  #> Seasonal filter:  3 #> Trend filter: 23 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle        13.259 #>  seasonal     86.854 #>  irregular     0.970 #>  calendar      0.000 #>  others        0.299 #>  total       101.383 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.994 #>  seas.ftest.sa    0.999 #>  seas.qstest.i    0.045 #>  seas.qstest.sa   0.035 #>  td.ftest.i       0.000 #>  td.ftest.sa      0.000 #>  #>  #> Final #> Last values #>          series       sa    trend      seas       irr #> Sep 2016 1393.5 1558.700 1547.466 0.8940140 1.0072601 #> Oct 2016 1497.4 1539.619 1543.359 0.9725785 0.9975766 #> Nov 2016 1684.3 1540.423 1541.287 1.0934011 0.9994390 #> Dec 2016 2850.4 1561.106 1541.060 1.8258848 1.0130078 #> Jan 2017 1428.5 1513.071 1542.061 0.9441065 0.9812005 #> Feb 2017 1092.4 1538.709 1543.697 0.7099456 0.9967689 #> Mar 2017 1370.3 1532.681 1545.484 0.8940545 0.9917157 #> Apr 2017 1522.6 1609.073 1547.232 0.9462594 1.0399684 #> May 2017 1452.4 1563.830 1548.782 0.9287456 1.0097158 #> Jun 2017 1557.2 1561.361 1549.791 0.9973351 1.0074658 #> Jul 2017 1445.5 1519.197 1550.206 0.9514898 0.9799965 #> Aug 2017 1303.1 1554.064 1550.306 0.8385112 1.0024242 x13(y,\"rsa5c\") #> RegARIMA #> Log-transformation: yes  #> SARIMA model:  (0,1,1) (1,1,1) #>  #> Coefficients #>           Estimate Std. Error T-stat #> theta(1)  -0.81551    0.06932 -11.76 #> bphi(1)   -0.43410    0.02650 -16.38 #> btheta(1) -0.82463    0.04458 -18.50 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> monday          -0.009156   0.003278 -2.793 #> tuesday          0.004523   0.003316  1.364 #> wednesday       -0.001181   0.003285 -0.360 #> thursday         0.013349   0.003304  4.040 #> friday          -0.001501   0.003313 -0.453 #> saturday         0.014993   0.003293  4.553 #> easter           0.051061   0.006629  7.703 #> TC (2000-06-01)  0.162337   0.026546  6.115 #> AO (2000-07-01) -0.306371   0.032121 -9.538 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  13  #>  #> Loglikelihood:  794.8103  #> Adjusted loglikelihood:  -2072.816  #>  #> Standard error of the regression (ML estimate):  0.03486636  #> AIC:  4171.633  #> AICC:  4172.548  #> BIC:  4223.906  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.054 #> m2    0.049 #> m3    1.765 #> m4    0.089 #> m5    1.416 #> m6    0.012 #> m7    0.052 #> m8    0.160 #> m9    0.050 #> m10   0.124 #> m11   0.122 #> q     0.385 #> qm2   0.427 #>  #> Final filters:  #> Seasonal filter:  3 #> Trend filter: 23 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle        13.437 #>  seasonal     86.536 #>  irregular     0.489 #>  calendar      0.599 #>  others        0.323 #>  total       101.383 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.977 #>  seas.ftest.sa    0.986 #>  seas.qstest.i    0.010 #>  seas.qstest.sa   0.004 #>  td.ftest.i       0.993 #>  td.ftest.sa      0.996 #>  #>  #> Final #> Last values #>          series       sa    trend      seas       irr #> Sep 2016 1393.5 1544.948 1548.898 0.9019720 0.9974502 #> Oct 2016 1497.4 1569.409 1547.139 0.9541172 1.0143941 #> Nov 2016 1684.3 1523.294 1546.638 1.1056959 0.9849069 #> Dec 2016 2850.4 1536.891 1546.939 1.8546531 0.9935050 #> Jan 2017 1428.5 1547.514 1547.658 0.9230932 0.9999075 #> Feb 2017 1092.4 1545.578 1548.351 0.7067905 0.9982091 #> Mar 2017 1370.3 1556.916 1548.748 0.8801376 1.0052738 #> Apr 2017 1522.6 1587.923 1548.518 0.9588628 1.0254470 #> May 2017 1452.4 1555.226 1547.332 0.9338837 1.0051016 #> Jun 2017 1557.2 1539.877 1545.264 1.0112493 0.9965141 #> Jul 2017 1445.5 1532.112 1542.797 0.9434688 0.9930744 #> Aug 2017 1303.1 1524.535 1540.385 0.8547526 0.9897103 regarima_fast(y,\"rg0\") #> Log-transformation: no  #> SARIMA model:  (0,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> theta(1)  -0.87640    0.02290 -38.275 #> btheta(1) -0.38755    0.05071  -7.642 #>  #> No regression variables #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  3  #>  #> Loglikelihood:  -2218.964  #> Standard error of the regression (ML estimate):  52.59136  #> AIC:  4443.928  #> AICC:  4443.987  #> BIC:  4455.991  #>  regarima(y,\"rg3\") #> Log-transformation: yes  #> SARIMA model:  (2,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.38042    0.06517   5.838 #> phi(2)     0.21398    0.06040   3.543 #> theta(1)  -0.70246    0.05146 -13.650 #> btheta(1) -0.56259    0.06648  -8.462 #>  #> Regression model: #>                 Estimate Std. Error T-stat #> TC (2000-06-01)  0.15476    0.03158  4.900 #> AO (2000-07-01) -0.29505    0.04425 -6.668 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  7  #>  #> Loglikelihood:  720.2196  #> Adjusted loglikelihood:  -2147.407  #>  #> Standard error of the regression (ML estimate):  0.04181753  #> AIC:  4308.814  #> AICC:  4309.092  #> BIC:  4336.962  #>   sp = x13_spec(\"rsa5c\") sp = rjd3toolkit::add_outlier(sp,                  type = c(\"AO\"), c(\"2015-01-01\", \"2010-01-01\")) sp =  rjd3toolkit::set_transform(    rjd3toolkit::set_tradingdays(      rjd3toolkit::set_easter(sp, enabled = FALSE),     option = \"workingdays\"   ),   fun = \"None\" ) x13(y,spec=sp) #> RegARIMA #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.16557    0.06461   2.563 #> phi(2)     0.08780    0.06435   1.364 #> phi(3)    -0.11287    0.06047  -1.867 #> theta(1)  -0.86076    0.03927 -21.918 #> btheta(1) -0.22918    0.05193  -4.413 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0015     0.8098  1.237 #> lp                29.6392    11.5469  2.567 #> AO (2010-01-01)   37.0476    34.4300  1.076 #> AO (2015-01-01)   27.9946    35.0234  0.799 #> AO (2000-06-01)  199.7536    34.5756  5.777 #> AO (2000-07-01) -194.6887    34.6240 -5.623 #> LS (2005-04-01)  -82.3062    17.4210 -4.725 #> LS (2015-07-01)   81.3334    18.0924  4.495 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  14  #>  #> Loglikelihood:  -2159.902  #> Standard error of the regression (ML estimate):  45.632  #> AIC:  4347.804  #> AICC:  4348.862  #> BIC:  4404.099  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.043 #> m2    0.033 #> m3    1.909 #> m4    0.447 #> m5    1.607 #> m6    0.399 #> m7    0.167 #> m8    0.298 #> m9    0.145 #> m10   0.308 #> m11   0.293 #> q     0.552 #> qm2   0.624 #>  #> Final filters:  #> Seasonal filter:  2 #> Trend filter: 23 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle         6.178 #>  seasonal     94.402 #>  irregular     0.325 #>  calendar      0.020 #>  others        1.504 #>  total       102.429 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.902 #>  seas.ftest.sa    0.996 #>  seas.qstest.i    0.038 #>  seas.qstest.sa   0.138 #>  td.ftest.i       0.000 #>  td.ftest.sa      0.000 #>  #>  #> Final #> Last values #>          series       sa    trend        seas        irr #> Sep 2016 1393.5 1567.439 1554.386 -173.938673  13.052790 #> Oct 2016 1497.4 1547.052 1551.116  -49.651713  -4.064205 #> Nov 2016 1684.3 1544.888 1549.070  139.411575  -4.182012 #> Dec 2016 2850.4 1560.255 1548.078 1290.145096  12.177219 #> Jan 2017 1428.5 1529.584 1547.770 -101.084412 -18.185622 #> Feb 2017 1092.4 1552.751 1547.915 -460.350943   4.835817 #> Mar 2017 1370.3 1532.112 1548.227 -161.812246 -16.114386 #> Apr 2017 1522.6 1571.429 1548.386  -48.829077  23.042779 #> May 2017 1452.4 1554.351 1548.282 -101.951014   6.069336 #> Jun 2017 1557.2 1548.139 1547.682    9.061423   0.456243 #> Jul 2017 1445.5 1540.321 1546.422  -94.820887  -6.101117 #> Aug 2017 1303.1 1554.506 1544.648 -251.405622   9.857735 sp = set_x11(sp,              henderson.filter = 13) x13_fast(y, spec = sp) #> RegARIMA #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.16557    0.06461   2.563 #> phi(2)     0.08780    0.06435   1.364 #> phi(3)    -0.11287    0.06047  -1.867 #> theta(1)  -0.86076    0.03927 -21.918 #> btheta(1) -0.22918    0.05193  -4.413 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0015     0.8098  1.237 #> lp                29.6392    11.5469  2.567 #> AO (2010-01-01)   37.0476    34.4300  1.076 #> AO (2015-01-01)   27.9946    35.0234  0.799 #> AO (2000-06-01)  199.7536    34.5756  5.777 #> AO (2000-07-01) -194.6887    34.6240 -5.623 #> LS (2005-04-01)  -82.3062    17.4210 -4.725 #> LS (2015-07-01)   81.3334    18.0924  4.495 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  14  #>  #> Loglikelihood:  -2159.902  #> Standard error of the regression (ML estimate):  45.632  #> AIC:  4347.804  #> AICC:  4348.862  #> BIC:  4404.099  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.036 #> m2    0.029 #> m3    1.786 #> m4    0.537 #> m5    1.528 #> m6    0.449 #> m7    0.167 #> m8    0.290 #> m9    0.144 #> m10   0.297 #> m11   0.285 #> q     0.533 #> qm2   0.604 #>  #> Final filters:  #> Seasonal filter:  2 #> Trend filter: 13 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle         6.227 #>  seasonal     94.535 #>  irregular     0.290 #>  calendar      0.020 #>  others        1.506 #>  total       102.578 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.924 #>  seas.ftest.sa    0.997 #>  seas.qstest.i    0.018 #>  seas.qstest.sa   0.117 #>  td.ftest.i       0.000 #>  td.ftest.sa      0.000 #>  #>  #> Final #> Last values #>          series       sa    trend        seas        irr #> Sep 2016 1393.5 1567.255 1554.069 -173.754955  13.186079 #> Oct 2016 1497.4 1547.824 1551.331  -50.424459  -3.506850 #> Nov 2016 1684.3 1546.128 1548.057  138.172189  -1.929197 #> Dec 2016 2850.4 1557.769 1545.941 1292.630528  11.828053 #> Jan 2017 1428.5 1530.142 1545.777 -101.642006 -15.634829 #> Feb 2017 1092.4 1552.860 1546.573 -460.459760   6.287131 #> Mar 2017 1370.3 1532.029 1548.853 -161.728778 -16.824581 #> Apr 2017 1522.6 1571.073 1551.472  -48.473184  19.601512 #> May 2017 1452.4 1554.849 1552.698 -102.448692   2.151163 #> Jun 2017 1557.2 1550.052 1552.154    7.148413  -2.102681 #> Jul 2017 1445.5 1541.002 1549.653  -95.502435  -8.650144 #> Aug 2017 1303.1 1554.802 1545.625 -251.702019   9.176569"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_dictionary.html","id":null,"dir":"Reference","previous_headings":"","what":"X-13 Dictionary — x13_dictionary","title":"X-13 Dictionary — x13_dictionary","text":"X-13 Dictionary","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_dictionary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"X-13 Dictionary — x13_dictionary","text":"","code":"x13_dictionary()"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_dictionary.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"X-13 Dictionary — x13_dictionary","text":"vector containing names available output objects (series, diagnostics, parameters).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_full_dictionary.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — x13_full_dictionary","title":"Title — x13_full_dictionary","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_full_dictionary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — x13_full_dictionary","text":"","code":"x13_full_dictionary()"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":null,"dir":"Reference","previous_headings":"","what":"Revisions History — x13_revisions","title":"Revisions History — x13_revisions","text":"Compute revisions history","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Revisions History — x13_revisions","text":"","code":"x13_revisions(   ts,   spec,   data_ids = NULL,   ts_ids = NULL,   cmp_ids = NULL,   context = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Revisions History — x13_revisions","text":"ts time series used estimation. spec specification used. data_ids list list specify statistics export. sub-list must contain two elements: start (first date compute history, format \"YYYY-MM-DD\") id (name statistics, see x13_dictionary()). See example. ts_ids list list specify specific date component whose history studied. sub-list must contain three elements: start (first date compute history, format \"YYYY-MM-DD\"), period (date studied) id (name component, see x13_dictionary()). See example. cmp_ids list list specify component whose history studied. sub-list must contain three elements: start (first date compute history, format \"YYYY-MM-DD\"), end (last date compute history, format \"YYYY-MM-DD\") id (name component, see x13_dictionary()). many series periods start end exported. See example. context context specification.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Revisions History — x13_revisions","text":"","code":"s <- rjd3toolkit::ABS$X0.2.09.10.M sa_mod <- x13(s) data_ids <- list(   # Get the coefficient of the trading-day coefficient from 2005-jan   list(start = \"2005-01-01\", id = \"regression.td(1)\"),   # Get the ljung-box statistics on residuals from 2010-jan   list(start = \"2010-01-01\", id = \"residuals.lb\")) ts_ids <- list(   # Get the SA component estimates of 2010-jan from 2010-jan   list(period = \"2010-01-01\", start = \"2010-01-01\", id = \"sa\"),   # Get the irregular component estimates of 2010-jan from 2015-jan   list(period = \"2010-01-01\", start = \"2015-01-01\", id = \"i\")) cmp_ids <- list(   # Get the SA component estimates (full time series) 2010-jan to 2020-jan   list(start = \"2010-01-01\", end = \"2020-01-01\", id = \"sa\"),   # Get the trend component estimates (full time series)  2010-jan to 2020-jan   list(start = \"2010-01-01\", end = \"2020-01-01\", id = \"t\")) rh <- x13_revisions(s, sa_mod$result_spec, data_ids, ts_ids, cmp_ids)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":null,"dir":"Reference","previous_headings":"","what":"RegARIMA/X-13 Default Specifications — x13_spec","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"Set functions create default specification objects associated X-13ARIMA seasonal adjustment method.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"","code":"regarima_spec(name = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"))  x13_spec(name = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"))  x11_spec()"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"name name predefined specification.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"object class \"JD3_X13_SPEC\" (x13_spec()), \"JD3_REGARIMA_SPEC\" (regarima_spec()) \"JD3_X11_SPEC\" (x11_spec()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"Specification setting sheer X-11 decomposition method (without reg-arima pre-adjustment) supported x11_spec() function appear among possible X13-Arima default specifications Specification setting can restricted reg-arima part regarima_spec() function, without argument regarima_spec() yields RG5c specification setting complete X13-Arima spec, x13_spec() without argument  yields RSA5c specification available predefined 'JDemetra+' model specifications described table :","code":""},{"path":[]},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"","code":"init_spec <- x11_spec() init_spec <- regarima_spec(\"rg4\") init_spec <- x13_spec(\"rsa5c\")"}]
+[{"path":"https://rjdverse.github.io/rjd3x13/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Jean Palate. Author. Alain Quartier-la-Tente. Author. Tanguy Barthelemy. Author, maintainer, artist. Anna Smyk. Author.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Palate J, Quartier-la-Tente , Barthelemy T, Smyk (2024). rjd3x13: Seasonal Adjustment X-13 'JDemetra+ 3.x'. R package version 3.2.3, https://rjdverse.github.io/rjd3x13/, https://github.com/rjdverse/rjd3x13.","code":"@Manual{,   title = {rjd3x13: Seasonal Adjustment with X-13 in 'JDemetra+ 3.x'},   author = {Jean Palate and Alain Quartier-la-Tente and Tanguy Barthelemy and Anna Smyk},   year = {2024},   note = {R package version 3.2.3, https://rjdverse.github.io/rjd3x13/},   url = {https://github.com/rjdverse/rjd3x13}, }"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"rjd3x13-","dir":"","previous_headings":"","what":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"rjd3x13 offers full access options outputs X-13 (rjd3x13::x13()), including RegARIMA modelling (rjd3x13::regarima()) X-11 decomposition (rjd3x13::x11()). specification can created rjd3x13::regarima_spec(), rjd3x13::x11_spec() rjd3x13::x13_spec() can modified following functions: pre-processing: rjd3toolkit::set_arima(), rjd3toolkit::set_automodel(), rjd3toolkit::set_basic(), rjd3toolkit::set_easter(), rjd3toolkit::set_estimate(), rjd3toolkit::set_outlier(), rjd3toolkit::set_tradingdays(), rjd3toolkit::set_transform(), rjd3toolkit::add_outlier(), rjd3toolkit::remove_outlier(), rjd3toolkit::add_ramp(), rjd3toolkit::remove_ramp(), rjd3toolkit::add_usrdefvar(); decomposition: rjd3x13::set_x11(); benchmarking: rjd3toolkit::set_benchmarking().","code":""},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"Running rjd3 packages requires Java 17 higher. set configuration R explained ","code":""},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"latest-release","dir":"","previous_headings":"Installation","what":"Latest release","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"get current stable version (latest release): GitHub: r-universe:","code":"# install.packages(\"remotes\") remotes::install_github(\"rjdverse/rjd3toolkit@*release\") remotes::install_github(\"rjdverse/rjd3x13@*release\") install.packages(\"rjd3x13\", repos = c(\"https://rjdverse.r-universe.dev\", \"https://cloud.r-project.org\"))"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"development-version","dir":"","previous_headings":"Installation","what":"Development version","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"can install development version rjd3x13 GitHub :","code":"# install.packages(\"remotes\") remotes::install_github(\"rjdverse/rjd3x13\")"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"","code":"library(\"rjd3x13\")  y <- rjd3toolkit::ABS$X0.2.09.10.M x13_model <- x13(y)  summary(x13_model$result$preprocessing) # Summary of regarima model #> Log-transformation: yes  #> SARIMA model:  (2,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat Pr(>|t|)     #> phi(1)     0.34740    0.06502   5.343 1.53e-07 *** #> phi(2)     0.21733    0.06000   3.622 0.000329 *** #> theta(1)  -0.69937    0.05115 -13.672  < 2e-16 *** #> btheta(1) -0.48038    0.06993  -6.869 2.45e-11 *** #> --- #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #>  #> Regression model: #>                   Estimate Std. Error T-stat Pr(>|t|)     #> td               0.0023233  0.0006844  3.395 0.000755 *** #> easter           0.0520113  0.0084894  6.127 2.13e-09 *** #> TC (2000-06-01)  0.1590340  0.0288578  5.511 6.37e-08 *** #> AO (2000-07-01) -0.2900774  0.0400551 -7.242 2.25e-12 *** #> --- #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 #> Number of observations:  425 , Number of effective observations:  412 , Number of parameters:  9  #> Loglikelihood:  746.7517, Adjusted loglikelihood:  -2120.875 #> Standard error of the regression (ML estimate):  0.03927991  #> AIC:  4259.75 , AICc:  4260.198 , BIC:  4295.939  plot(x13_model) # Plot of the final decomposition"},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"package-maintenance-and-contributing","dir":"","previous_headings":"","what":"Package Maintenance and contributing","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"contribution welcome done pull requests /issues. pull requests include updated tests updated documentation. functionality changed, docstrings added updated.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/index.html","id":"licensing","dir":"","previous_headings":"","what":"Licensing","title":"Seasonal Adjustment with X-13 in JDemetra+ 3.x","text":"code project licensed European Union Public Licence (EUPL).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/deprecated-rjd3x13.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated functions — deprecated-rjd3x13","title":"Deprecated functions — deprecated-rjd3x13","text":"Deprecated functions","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/deprecated-rjd3x13.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated functions — deprecated-rjd3x13","text":"","code":"spec_x13(name = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"))  spec_regarima(name = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"))  spec_x11()  fast_x13(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )  fast_regarima(   ts,   spec = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"),   context = NULL,   userdefined = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/deprecated-rjd3x13.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated functions — deprecated-rjd3x13","text":"ts, spec, context, userdefined, name Parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/jd3_utilities.html","id":null,"dir":"Reference","previous_headings":"","what":"Java Utility Functions — jd3_utilities","title":"Java Utility Functions — jd3_utilities","text":"functions used JDemetra+ 3.0 packages easily interact R Java objects.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/jd3_utilities.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Java Utility Functions — jd3_utilities","text":"","code":".x13_rslts(jrslts)  .jd2r_spec_x11(jspec)  .r2jd_spec_x11(spec)  .r2jd_spec_regarima(spec)  .jd2r_spec_regarima(jspec)  .r2jd_spec_x13(spec)  .jd2r_spec_x13(jspec)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/jd3_utilities.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Java Utility Functions — jd3_utilities","text":"spec, jspec, jrslts parameters.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":null,"dir":"Reference","previous_headings":"","what":"Refresh a specification with constraints — refresh","title":"Refresh a specification with constraints — refresh","text":"Function allowing create new specification updating specification used previous estimation. selected parameters kept fixed (previous estimation results) others freed re-estimation domain constraints. See details examples.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Refresh a specification with constraints — refresh","text":"","code":"regarima_refresh(   spec,   refspec = NULL,   policy = c(\"FreeParameters\", \"Complete\", \"Outliers_StochasticComponent\", \"Outliers\",     \"FixedParameters\", \"FixedAutoRegressiveParameters\", \"Fixed\", \"Current\"),   period = 0,   start = NULL,   end = NULL )  x13_refresh(   spec,   refspec = NULL,   policy = c(\"FreeParameters\", \"Complete\", \"Outliers_StochasticComponent\", \"Outliers\",     \"FixedParameters\", \"FixedAutoRegressiveParameters\", \"Fixed\", \"Current\"),   period = 0,   start = NULL,   end = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Refresh a specification with constraints — refresh","text":"spec current specification refreshed (\"result_spec\"). refspec reference specification used define domain considered re-estimation (\"domain_spec\"). default \"RG5c\" \"RSA5\" specification. policy refresh policy apply (see details). period, start, end additional parameters used specify span additive outliers (AO) introduced policy = \"Current\" specify span outliers re-detected policy = \"Outliers\" policy = \"Outliers_StochasticComponent\", case end unused. start specified, outliers re-identified whole series. Span definition: period: numeric, number observations year (12, 4...). start end: defined arrays two elements: year first period (example, period = 12 c(1980, 1) stands January 1980) dates corresponding start end included span definition.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Refresh a specification with constraints — refresh","text":"new specification, object class \"JD3_X13_SPEC\" \"JD3_REGARIMA_SPEC\".","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Refresh a specification with constraints — refresh","text":"selection constraints kept fixed re-estimated called revision policy. User-defined parameters always copied new refreshed specifications. X-13 reg-arima part can refreshed. X-11 decomposition completely re-run, keeping user-defined parameters original specification. Available refresh policies : Current: applying current pre-adjustment reg-arima model handling new raw data points, sub-span series Additive Outliers (defined new intervention variables) Fixed: applying current pre-adjustment reg-arima model replacing forecasts new raw data points. FixedParameters: pre-adjustment reg-arima model partially modified: regression coefficients re-estimated regression variables, Arima orders coefficients unchanged. FixedAutoRegressiveParameters: FixedParameters Arima Moving Average coefficients (MA) also re-estimated, Auto-regressive (AR) coefficients kept fixed. FreeParameters: regression Arima model coefficients re-estimated, regression variables Arima orders kept fixed. Outliers: regression variables Arima orders kept fixed, outliers re-detected defined span, thus regression Arima model coefficients re-estimated Outliers_StochasticComponent: \"Outliers\" Arima model orders (p,d,q)(P,D,Q) can also re-identified.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Refresh a specification with constraints — refresh","text":"information revision policies JDemetra+ online documentation: https://jdemetra-new-documentation.netlify.app/t-rev-policies-production","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/refresh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Refresh a specification with constraints — refresh","text":"","code":"y<- rjd3toolkit::ABS$X0.2.08.10.M # raw series for first estimation y_raw <-window(y,end = c(2016,12)) # raw series for second (refreshed) estimation y_new <-window(y,end = c(2017,6)) # specification for first estimation spec_x13_1<-x13_spec(\"rsa5c\") # first estimation sa_x13<- x13(y_raw, spec_x13_1) # refreshing the specification current_result_spec <- sa_x13$result_spec current_domain_spec <- sa_x13$estimation_spec # policy = \"Fixed\" spec_x13_ref <- x13_refresh(current_result_spec, # point spec to be refreshed   current_domain_spec, #domain spec (set of constraints)   policy = \"Fixed\") # 2nd estimation with refreshed specification sa_x13_ref <- x13(y_new, spec_x13_ref) # policy = \"Outliers\" spec_x13_ref <- x13_refresh(current_result_spec,   current_domain_spec,   policy = \"Outliers\",   period=12,   start=c(2017,1)) # outliers will be re-detected from January 2017 included # 2nd estimation with refreshed specification sa_x13_ref <- x13(y_new, spec_x13_ref)  # policy = \"Current\" spec_x13_ref <- x13_refresh(current_result_spec,   current_domain_spec,   policy = \"Current\",   period=12,   start=c(2017,1),   end=end(y_new))   # points from January 2017 (included) until the end of the series will be treated   # as Additive Outliers, the previous reg-Arima model being otherwise kept fixed # 2nd estimation with refreshed specification sa_x13_ref <- x13(y_new, spec_x13_ref)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":null,"dir":"Reference","previous_headings":"","what":"RegARIMA model, pre-adjustment in X13 — regarima","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"RegARIMA model, pre-adjustment X13","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"","code":"regarima(   ts,   spec = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"),   context = NULL,   userdefined = NULL )  regarima_fast(   ts,   spec = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"),   context = NULL,   userdefined = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"ts univariate time series. spec model specification. Can either name predefined specification user-defined specification. context list external regressors (calendar ) used estimation userdefined vector containing additional output variables (see x13_dictionary()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"regarima() function returns list results (\"JD3_REGARIMA_RSLTS\" object), estimation specification result specification, regarima_fast() faster function returns results.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RegARIMA model, pre-adjustment in X13 — regarima","text":"","code":"y = rjd3toolkit::ABS$X0.2.09.10.M sp = regarima_spec(\"rg5c\") sp = rjd3toolkit::add_outlier(sp,                  type = c(\"AO\"), c(\"2015-01-01\", \"2010-01-01\")) regarima_fast(y, spec = sp) #> Log-transformation: yes  #> SARIMA model:  (0,1,1) (1,1,1) #>  #> Coefficients #>           Estimate Std. Error T-stat #> theta(1)  -0.81606    0.06959 -11.73 #> bphi(1)   -0.43734    0.02661 -16.44 #> btheta(1) -0.82509    0.04481 -18.41 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> monday          -0.008747   0.003287 -2.661 #> tuesday          0.004488   0.003314  1.354 #> wednesday       -0.001471   0.003294 -0.447 #> thursday         0.013886   0.003325  4.176 #> friday          -0.001944   0.003325 -0.585 #> saturday         0.015368   0.003304  4.651 #> easter           0.051130   0.006621  7.723 #> AO (2010-01-01)  0.035349   0.028796  1.228 #> AO (2015-01-01) -0.020385   0.028885 -0.706 #> TC (2000-06-01)  0.162169   0.026510  6.117 #> AO (2000-07-01) -0.306536   0.032095 -9.551 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  15  #>  #> Loglikelihood:  795.8429  #> Adjusted loglikelihood:  -2071.784  #>  #> Standard error of the regression (ML estimate):  0.03478056  #> AIC:  4173.568  #> AICC:  4174.78  #> BIC:  4233.883  #>  sp = rjd3toolkit::set_transform(    rjd3toolkit::set_tradingdays(      rjd3toolkit::set_easter(sp, enabled = FALSE),     option = \"workingdays\"   ),   fun = \"None\" ) regarima_fast(y, spec = sp) #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.16557    0.06461   2.563 #> phi(2)     0.08780    0.06435   1.364 #> phi(3)    -0.11287    0.06047  -1.867 #> theta(1)  -0.86076    0.03927 -21.918 #> btheta(1) -0.22918    0.05193  -4.413 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0015     0.8098  1.237 #> lp                29.6392    11.5469  2.567 #> AO (2010-01-01)   37.0476    34.4300  1.076 #> AO (2015-01-01)   27.9946    35.0234  0.799 #> AO (2000-06-01)  199.7536    34.5756  5.777 #> AO (2000-07-01) -194.6887    34.6240 -5.623 #> LS (2005-04-01)  -82.3062    17.4210 -4.725 #> LS (2015-07-01)   81.3334    18.0924  4.495 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  14  #>  #> Loglikelihood:  -2159.902  #> Standard error of the regression (ML estimate):  45.632  #> AIC:  4347.804  #> AICC:  4348.862  #> BIC:  4404.099  #>  sp =  rjd3toolkit::set_outlier(sp, outliers.type = c(\"AO\")) regarima_fast(y, spec = sp) #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.11808    0.09633   1.226 #> phi(2)     0.03364    0.09199   0.366 #> phi(3)    -0.15061    0.08002  -1.882 #> theta(1)  -0.83611    0.07714 -10.838 #> btheta(1) -0.24114    0.05412  -4.456 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0012     0.8028  1.247 #> lp                30.8981    11.7820  2.622 #> AO (2010-01-01)   37.2796    35.1800  1.060 #> AO (2015-01-01)    6.5622    35.1307  0.187 #> AO (2000-06-01)  194.6157    35.1753  5.533 #> AO (2000-07-01) -201.1923    35.2286 -5.711 #> AO (2005-04-01) -150.2768    35.1047 -4.281 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  13  #>  #> Loglikelihood:  -2169.985  #> Standard error of the regression (ML estimate):  46.77874  #> AIC:  4365.971  #> AICC:  4366.885  #> BIC:  4418.244  #>"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":null,"dir":"Reference","previous_headings":"","what":"Outlier Detection with a RegARIMA Model — regarima_outliers","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"Outlier Detection RegARIMA Model","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"","code":"regarima_outliers(   y,   order = c(0L, 1L, 1L),   seasonal = c(0L, 1L, 1L),   mean = FALSE,   X = NULL,   X.td = NULL,   ao = TRUE,   ls = TRUE,   tc = FALSE,   so = FALSE,   cv = 0,   clean = FALSE )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"y dependent variable (ts object). order, seasonal orders ARIMA model. mean Boolean include mean. X user defined regressors (calendar). X.td calendar regressors. ao, ls, , tc Boolean indicate type outliers detected. cv numeric. entered critical value outlier detection procedure. equal 0 critical value outlier detection procedure automatically determined number observations. clean Clean missing values beginning/end series. Regression variables automatically resized, need .","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"\"JD3_REGARIMA_OUTLIERS\" object, containing input variables results","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/regarima_outliers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Outlier Detection with a RegARIMA Model — regarima_outliers","text":"","code":"regarima_outliers(rjd3toolkit::ABS$X0.2.09.10.M) #> $model #> $model$y #>         Jan    Feb    Mar    Apr    May    Jun    Jul    Aug    Sep    Oct #> 1982                       460.1  502.6  443.8  459.1  438.4  465.1  452.7 #> 1983  379.2  378.0  472.1  503.4  510.6  462.4  468.3  458.2  482.7  485.3 #> 1984  414.7  414.5  484.7  487.3  597.9  500.4  543.4  503.4  522.8  556.6 #> 1985  516.3  452.5  525.8  587.7  700.3  561.8  602.8  582.5  563.1  637.1 #> 1986  570.5  478.2  547.4  594.3  751.6  553.4  663.2  581.1  661.9  665.6 #> 1987  613.9  513.2  599.9  674.1  714.0  670.5  720.9  601.6  672.3  709.1 #> 1988  631.0  551.1  678.1  715.7  740.8  722.0  683.5  650.9  723.3  729.6 #> 1989  631.5  552.0  719.0  697.6  764.8  786.3  715.1  723.8  757.9  751.7 #> 1990  678.2  586.2  726.8  744.1  815.5  832.4  710.3  759.4  741.1  786.6 #> 1991  694.0  604.7  719.2  748.2  828.2  746.9  794.5  770.4  741.5  858.6 #> 1992  740.0  665.9  701.5  831.4  878.6  826.0  788.2  723.6  819.8  902.5 #> 1993  762.1  643.0  754.1  840.7  906.6  887.1  771.5  728.7  844.7  886.9 #> 1994  745.7  664.4  821.5  831.7  908.0  912.6  782.9  798.8  887.0  934.6 #> 1995  752.4  682.5  811.2  906.0  927.2  906.8  880.6  873.9  856.8  920.6 #> 1996  833.1  737.1  812.0  895.2  962.8  908.6  908.0  888.9  833.7  933.7 #> 1997  840.9  727.4  857.9  849.0  994.8  830.2  971.1  836.0  939.1  976.9 #> 1998  917.3  716.2  822.9  970.1  970.2  849.4 1042.3  869.9  939.4 1021.3 #> 1999  942.0  738.4  903.2  953.2 1011.2  894.4 1054.5  899.5 1002.3 1043.7 #> 2000  924.9  798.2  901.9 1024.7 1052.3 1165.5  859.3 1009.2 1054.6 1070.4 #> 2001  971.9  814.6 1017.5 1039.2 1123.5 1024.9 1100.8  963.0 1012.9 1132.0 #> 2002 1027.9  841.4 1043.9 1075.3 1190.9 1143.0 1075.7 1065.9 1060.1 1211.4 #> 2003 1099.3  900.5 1092.7 1222.4 1237.1 1237.9 1182.0 1101.2 1198.2 1316.1 #> 2004 1182.9  989.8 1131.4 1277.1 1280.3 1384.1 1305.9 1166.8 1317.9 1358.3 #> 2005 1246.3 1037.3 1300.8 1153.7 1264.2 1454.2 1290.1 1210.7 1277.8 1314.4 #> 2006 1193.7 1037.7 1204.5 1348.6 1267.6 1429.0 1412.0 1239.2 1219.1 1344.6 #> 2007 1267.3 1047.0 1331.6 1302.6 1365.1 1491.5 1462.3 1315.5 1353.3 1440.6 #> 2008 1397.8 1140.5 1351.7 1396.6 1421.1 1401.6 1582.3 1268.4 1383.3 1452.4 #> 2009 1451.0 1056.6 1386.9 1509.1 1519.4 1500.5 1570.7 1341.5 1399.9 1534.3 #> 2010 1469.1 1111.9 1379.9 1389.7 1427.2 1551.4 1581.0 1324.0 1422.0 1464.9 #> 2011 1412.6 1117.5 1321.6 1472.6 1408.9 1471.9 1532.5 1293.5 1345.7 1404.7 #> 2012 1362.4 1131.7 1349.2 1391.2 1456.9 1616.4 1423.4 1359.0 1367.8 1442.6 #> 2013 1397.4 1113.6 1397.3 1339.1 1441.9 1537.4 1390.6 1337.2 1359.4 1463.3 #> 2014 1451.0 1064.9 1293.2 1442.9 1411.8 1461.6 1501.6 1254.2 1356.4 1478.7 #> 2015 1471.2 1053.8 1367.2 1442.2 1428.7 1480.9 1540.9 1331.9 1400.1 1566.3 #> 2016 1519.2 1155.8 1451.5 1451.0 1449.7 1596.1 1468.3 1293.9 1393.5 1497.4 #> 2017 1428.5 1092.4 1370.3 1522.6 1452.4 1557.2 1445.5 1303.1               #>         Nov    Dec #> 1982  522.9  889.3 #> 1983  568.7  963.7 #> 1984  623.2 1039.4 #> 1985  697.1 1187.5 #> 1986  700.9 1367.9 #> 1987  743.2 1460.1 #> 1988  870.3 1570.0 #> 1989  923.8 1569.4 #> 1990  931.5 1563.1 #> 1991  944.7 1600.3 #> 1992  968.6 1650.9 #> 1993  970.0 1710.5 #> 1994 1000.4 1817.5 #> 1995 1067.4 1857.2 #> 1996 1081.6 1837.6 #> 1997 1111.3 1879.1 #> 1998 1137.7 1975.7 #> 1999 1207.2 2069.6 #> 2000 1232.5 2177.5 #> 2001 1344.8 2269.5 #> 2002 1495.1 2338.6 #> 2003 1528.2 2424.2 #> 2004 1536.7 2500.8 #> 2005 1540.4 2536.0 #> 2006 1623.3 2611.1 #> 2007 1687.9 2747.0 #> 2008 1675.9 2886.1 #> 2009 1736.6 2795.1 #> 2010 1705.5 2752.4 #> 2011 1660.0 2730.5 #> 2012 1672.9 2753.3 #> 2013 1668.9 2725.5 #> 2014 1687.7 2756.9 #> 2015 1730.5 2913.6 #> 2016 1684.3 2850.4 #> 2017               #>  #> $model$variables #> [1] \"AO.220\" \"AO.219\" \"AO.277\" \"LS.400\" \"LS.280\" #>  #> $model$X #>        [,1] [,2] [,3] [,4] [,5] #>   [1,]    0    0    0   -1   -1 #>   [2,]    0    0    0   -1   -1 #>   [3,]    0    0    0   -1   -1 #>   [4,]    0    0    0   -1   -1 #>   [5,]    0    0    0   -1   -1 #>   [6,]    0    0    0   -1   -1 #>   [7,]    0    0    0   -1   -1 #>   [8,]    0    0    0   -1   -1 #>   [9,]    0    0    0   -1   -1 #>  [10,]    0    0    0   -1   -1 #>  [11,]    0    0    0   -1   -1 #>  [12,]    0    0    0   -1   -1 #>  [13,]    0    0    0   -1   -1 #>  [14,]    0    0    0   -1   -1 #>  [15,]    0    0    0   -1   -1 #>  [16,]    0    0    0   -1   -1 #>  [17,]    0    0    0   -1   -1 #>  [18,]    0    0    0   -1   -1 #>  [19,]    0    0    0   -1   -1 #>  [20,]    0    0    0   -1   -1 #>  [21,]    0    0    0   -1   -1 #>  [22,]    0    0    0   -1   -1 #>  [23,]    0    0    0   -1   -1 #>  [24,]    0    0    0   -1   -1 #>  [25,]    0    0    0   -1   -1 #>  [26,]    0    0    0   -1   -1 #>  [27,]    0    0    0   -1   -1 #>  [28,]    0    0    0   -1   -1 #>  [29,]    0    0    0   -1   -1 #>  [30,]    0    0    0   -1   -1 #>  [31,]    0    0    0   -1   -1 #>  [32,]    0    0    0   -1   -1 #>  [33,]    0    0    0   -1   -1 #>  [34,]    0    0    0   -1   -1 #>  [35,]    0    0    0   -1   -1 #>  [36,]    0    0    0   -1   -1 #>  [37,]    0    0    0   -1   -1 #>  [38,]    0    0    0   -1   -1 #>  [39,]    0    0    0   -1   -1 #>  [40,]    0    0    0   -1   -1 #>  [41,]    0    0    0   -1   -1 #>  [42,]    0    0    0   -1   -1 #>  [43,]    0    0    0   -1   -1 #>  [44,]    0    0    0   -1   -1 #>  [45,]    0    0    0   -1   -1 #>  [46,]    0    0    0   -1   -1 #>  [47,]    0    0    0   -1   -1 #>  [48,]    0    0    0   -1   -1 #>  [49,]    0    0    0   -1   -1 #>  [50,]    0    0    0   -1   -1 #>  [51,]    0    0    0   -1   -1 #>  [52,]    0    0    0   -1   -1 #>  [53,]    0    0    0   -1   -1 #>  [54,]    0    0    0   -1   -1 #>  [55,]    0    0    0   -1   -1 #>  [56,]    0    0    0   -1   -1 #>  [57,]    0    0    0   -1   -1 #>  [58,]    0    0    0   -1   -1 #>  [59,]    0    0    0   -1   -1 #>  [60,]    0    0    0   -1   -1 #>  [61,]    0    0    0   -1   -1 #>  [62,]    0    0    0   -1   -1 #>  [63,]    0    0    0   -1   -1 #>  [64,]    0    0    0   -1   -1 #>  [65,]    0    0    0   -1   -1 #>  [66,]    0    0    0   -1   -1 #>  [67,]    0    0    0   -1   -1 #>  [68,]    0    0    0   -1   -1 #>  [69,]    0    0    0   -1   -1 #>  [70,]    0    0    0   -1   -1 #>  [71,]    0    0    0   -1   -1 #>  [72,]    0    0    0   -1   -1 #>  [73,]    0    0    0   -1   -1 #>  [74,]    0    0    0   -1   -1 #>  [75,]    0    0    0   -1   -1 #>  [76,]    0    0    0   -1   -1 #>  [77,]    0    0    0   -1   -1 #>  [78,]    0    0    0   -1   -1 #>  [79,]    0    0    0   -1   -1 #>  [80,]    0    0    0   -1   -1 #>  [81,]    0    0    0   -1   -1 #>  [82,]    0    0    0   -1   -1 #>  [83,]    0    0    0   -1   -1 #>  [84,]    0    0    0   -1   -1 #>  [85,]    0    0    0   -1   -1 #>  [86,]    0    0    0   -1   -1 #>  [87,]    0    0    0   -1   -1 #>  [88,]    0    0    0   -1   -1 #>  [89,]    0    0    0   -1   -1 #>  [90,]    0    0    0   -1   -1 #>  [91,]    0    0    0   -1   -1 #>  [92,]    0    0    0   -1   -1 #>  [93,]    0    0    0   -1   -1 #>  [94,]    0    0    0   -1   -1 #>  [95,]    0    0    0   -1   -1 #>  [96,]    0    0    0   -1   -1 #>  [97,]    0    0    0   -1   -1 #>  [98,]    0    0    0   -1   -1 #>  [99,]    0    0    0   -1   -1 #> [100,]    0    0    0   -1   -1 #> [101,]    0    0    0   -1   -1 #> [102,]    0    0    0   -1   -1 #> [103,]    0    0    0   -1   -1 #> [104,]    0    0    0   -1   -1 #> [105,]    0    0    0   -1   -1 #> [106,]    0    0    0   -1   -1 #> [107,]    0    0    0   -1   -1 #> [108,]    0    0    0   -1   -1 #> [109,]    0    0    0   -1   -1 #> [110,]    0    0    0   -1   -1 #> [111,]    0    0    0   -1   -1 #> [112,]    0    0    0   -1   -1 #> [113,]    0    0    0   -1   -1 #> [114,]    0    0    0   -1   -1 #> [115,]    0    0    0   -1   -1 #> [116,]    0    0    0   -1   -1 #> [117,]    0    0    0   -1   -1 #> [118,]    0    0    0   -1   -1 #> [119,]    0    0    0   -1   -1 #> [120,]    0    0    0   -1   -1 #> [121,]    0    0    0   -1   -1 #> [122,]    0    0    0   -1   -1 #> [123,]    0    0    0   -1   -1 #> [124,]    0    0    0   -1   -1 #> [125,]    0    0    0   -1   -1 #> [126,]    0    0    0   -1   -1 #> [127,]    0    0    0   -1   -1 #> [128,]    0    0    0   -1   -1 #> [129,]    0    0    0   -1   -1 #> [130,]    0    0    0   -1   -1 #> [131,]    0    0    0   -1   -1 #> [132,]    0    0    0   -1   -1 #> [133,]    0    0    0   -1   -1 #> [134,]    0    0    0   -1   -1 #> [135,]    0    0    0   -1   -1 #> [136,]    0    0    0   -1   -1 #> [137,]    0    0    0   -1   -1 #> [138,]    0    0    0   -1   -1 #> [139,]    0    0    0   -1   -1 #> [140,]    0    0    0   -1   -1 #> [141,]    0    0    0   -1   -1 #> [142,]    0    0    0   -1   -1 #> [143,]    0    0    0   -1   -1 #> [144,]    0    0    0   -1   -1 #> [145,]    0    0    0   -1   -1 #> [146,]    0    0    0   -1   -1 #> [147,]    0    0    0   -1   -1 #> [148,]    0    0    0   -1   -1 #> [149,]    0    0    0   -1   -1 #> [150,]    0    0    0   -1   -1 #> [151,]    0    0    0   -1   -1 #> [152,]    0    0    0   -1   -1 #> [153,]    0    0    0   -1   -1 #> [154,]    0    0    0   -1   -1 #> [155,]    0    0    0   -1   -1 #> [156,]    0    0    0   -1   -1 #> [157,]    0    0    0   -1   -1 #> [158,]    0    0    0   -1   -1 #> [159,]    0    0    0   -1   -1 #> [160,]    0    0    0   -1   -1 #> [161,]    0    0    0   -1   -1 #> [162,]    0    0    0   -1   -1 #> [163,]    0    0    0   -1   -1 #> [164,]    0    0    0   -1   -1 #> [165,]    0    0    0   -1   -1 #> [166,]    0    0    0   -1   -1 #> [167,]    0    0    0   -1   -1 #> [168,]    0    0    0   -1   -1 #> [169,]    0    0    0   -1   -1 #> [170,]    0    0    0   -1   -1 #> [171,]    0    0    0   -1   -1 #> [172,]    0    0    0   -1   -1 #> [173,]    0    0    0   -1   -1 #> [174,]    0    0    0   -1   -1 #> [175,]    0    0    0   -1   -1 #> [176,]    0    0    0   -1   -1 #> [177,]    0    0    0   -1   -1 #> [178,]    0    0    0   -1   -1 #> [179,]    0    0    0   -1   -1 #> [180,]    0    0    0   -1   -1 #> [181,]    0    0    0   -1   -1 #> [182,]    0    0    0   -1   -1 #> [183,]    0    0    0   -1   -1 #> [184,]    0    0    0   -1   -1 #> [185,]    0    0    0   -1   -1 #> [186,]    0    0    0   -1   -1 #> [187,]    0    0    0   -1   -1 #> [188,]    0    0    0   -1   -1 #> [189,]    0    0    0   -1   -1 #> [190,]    0    0    0   -1   -1 #> [191,]    0    0    0   -1   -1 #> [192,]    0    0    0   -1   -1 #> [193,]    0    0    0   -1   -1 #> [194,]    0    0    0   -1   -1 #> [195,]    0    0    0   -1   -1 #> [196,]    0    0    0   -1   -1 #> [197,]    0    0    0   -1   -1 #> [198,]    0    0    0   -1   -1 #> [199,]    0    0    0   -1   -1 #> [200,]    0    0    0   -1   -1 #> [201,]    0    0    0   -1   -1 #> [202,]    0    0    0   -1   -1 #> [203,]    0    0    0   -1   -1 #> [204,]    0    0    0   -1   -1 #> [205,]    0    0    0   -1   -1 #> [206,]    0    0    0   -1   -1 #> [207,]    0    0    0   -1   -1 #> [208,]    0    0    0   -1   -1 #> [209,]    0    0    0   -1   -1 #> [210,]    0    0    0   -1   -1 #> [211,]    0    0    0   -1   -1 #> [212,]    0    0    0   -1   -1 #> [213,]    0    0    0   -1   -1 #> [214,]    0    0    0   -1   -1 #> [215,]    0    0    0   -1   -1 #> [216,]    0    0    0   -1   -1 #> [217,]    0    0    0   -1   -1 #> [218,]    0    0    0   -1   -1 #> [219,]    0    1    0   -1   -1 #> [220,]    1    0    0   -1   -1 #> [221,]    0    0    0   -1   -1 #> [222,]    0    0    0   -1   -1 #> [223,]    0    0    0   -1   -1 #> [224,]    0    0    0   -1   -1 #> [225,]    0    0    0   -1   -1 #> [226,]    0    0    0   -1   -1 #> [227,]    0    0    0   -1   -1 #> [228,]    0    0    0   -1   -1 #> [229,]    0    0    0   -1   -1 #> [230,]    0    0    0   -1   -1 #> [231,]    0    0    0   -1   -1 #> [232,]    0    0    0   -1   -1 #> [233,]    0    0    0   -1   -1 #> [234,]    0    0    0   -1   -1 #> [235,]    0    0    0   -1   -1 #> [236,]    0    0    0   -1   -1 #> [237,]    0    0    0   -1   -1 #> [238,]    0    0    0   -1   -1 #> [239,]    0    0    0   -1   -1 #> [240,]    0    0    0   -1   -1 #> [241,]    0    0    0   -1   -1 #> [242,]    0    0    0   -1   -1 #> [243,]    0    0    0   -1   -1 #> [244,]    0    0    0   -1   -1 #> [245,]    0    0    0   -1   -1 #> [246,]    0    0    0   -1   -1 #> [247,]    0    0    0   -1   -1 #> [248,]    0    0    0   -1   -1 #> [249,]    0    0    0   -1   -1 #> [250,]    0    0    0   -1   -1 #> [251,]    0    0    0   -1   -1 #> [252,]    0    0    0   -1   -1 #> [253,]    0    0    0   -1   -1 #> [254,]    0    0    0   -1   -1 #> [255,]    0    0    0   -1   -1 #> [256,]    0    0    0   -1   -1 #> [257,]    0    0    0   -1   -1 #> [258,]    0    0    0   -1   -1 #> [259,]    0    0    0   -1   -1 #> [260,]    0    0    0   -1   -1 #> [261,]    0    0    0   -1   -1 #> [262,]    0    0    0   -1   -1 #> [263,]    0    0    0   -1   -1 #> [264,]    0    0    0   -1   -1 #> [265,]    0    0    0   -1   -1 #> [266,]    0    0    0   -1   -1 #> [267,]    0    0    0   -1   -1 #> [268,]    0    0    0   -1   -1 #> [269,]    0    0    0   -1   -1 #> [270,]    0    0    0   -1   -1 #> [271,]    0    0    0   -1   -1 #> [272,]    0    0    0   -1   -1 #> [273,]    0    0    0   -1   -1 #> [274,]    0    0    0   -1   -1 #> [275,]    0    0    0   -1   -1 #> [276,]    0    0    0   -1   -1 #> [277,]    0    0    1   -1   -1 #> [278,]    0    0    0   -1   -1 #> [279,]    0    0    0   -1   -1 #> [280,]    0    0    0   -1    0 #> [281,]    0    0    0   -1    0 #> [282,]    0    0    0   -1    0 #> [283,]    0    0    0   -1    0 #> [284,]    0    0    0   -1    0 #> [285,]    0    0    0   -1    0 #> [286,]    0    0    0   -1    0 #> [287,]    0    0    0   -1    0 #> [288,]    0    0    0   -1    0 #> [289,]    0    0    0   -1    0 #> [290,]    0    0    0   -1    0 #> [291,]    0    0    0   -1    0 #> [292,]    0    0    0   -1    0 #> [293,]    0    0    0   -1    0 #> [294,]    0    0    0   -1    0 #> [295,]    0    0    0   -1    0 #> [296,]    0    0    0   -1    0 #> [297,]    0    0    0   -1    0 #> [298,]    0    0    0   -1    0 #> [299,]    0    0    0   -1    0 #> [300,]    0    0    0   -1    0 #> [301,]    0    0    0   -1    0 #> [302,]    0    0    0   -1    0 #> [303,]    0    0    0   -1    0 #> [304,]    0    0    0   -1    0 #> [305,]    0    0    0   -1    0 #> [306,]    0    0    0   -1    0 #> [307,]    0    0    0   -1    0 #> [308,]    0    0    0   -1    0 #> [309,]    0    0    0   -1    0 #> [310,]    0    0    0   -1    0 #> [311,]    0    0    0   -1    0 #> [312,]    0    0    0   -1    0 #> [313,]    0    0    0   -1    0 #> [314,]    0    0    0   -1    0 #> [315,]    0    0    0   -1    0 #> [316,]    0    0    0   -1    0 #> [317,]    0    0    0   -1    0 #> [318,]    0    0    0   -1    0 #> [319,]    0    0    0   -1    0 #> [320,]    0    0    0   -1    0 #> [321,]    0    0    0   -1    0 #> [322,]    0    0    0   -1    0 #> [323,]    0    0    0   -1    0 #> [324,]    0    0    0   -1    0 #> [325,]    0    0    0   -1    0 #> [326,]    0    0    0   -1    0 #> [327,]    0    0    0   -1    0 #> [328,]    0    0    0   -1    0 #> [329,]    0    0    0   -1    0 #> [330,]    0    0    0   -1    0 #> [331,]    0    0    0   -1    0 #> [332,]    0    0    0   -1    0 #> [333,]    0    0    0   -1    0 #> [334,]    0    0    0   -1    0 #> [335,]    0    0    0   -1    0 #> [336,]    0    0    0   -1    0 #> [337,]    0    0    0   -1    0 #> [338,]    0    0    0   -1    0 #> [339,]    0    0    0   -1    0 #> [340,]    0    0    0   -1    0 #> [341,]    0    0    0   -1    0 #> [342,]    0    0    0   -1    0 #> [343,]    0    0    0   -1    0 #> [344,]    0    0    0   -1    0 #> [345,]    0    0    0   -1    0 #> [346,]    0    0    0   -1    0 #> [347,]    0    0    0   -1    0 #> [348,]    0    0    0   -1    0 #> [349,]    0    0    0   -1    0 #> [350,]    0    0    0   -1    0 #> [351,]    0    0    0   -1    0 #> [352,]    0    0    0   -1    0 #> [353,]    0    0    0   -1    0 #> [354,]    0    0    0   -1    0 #> [355,]    0    0    0   -1    0 #> [356,]    0    0    0   -1    0 #> [357,]    0    0    0   -1    0 #> [358,]    0    0    0   -1    0 #> [359,]    0    0    0   -1    0 #> [360,]    0    0    0   -1    0 #> [361,]    0    0    0   -1    0 #> [362,]    0    0    0   -1    0 #> [363,]    0    0    0   -1    0 #> [364,]    0    0    0   -1    0 #> [365,]    0    0    0   -1    0 #> [366,]    0    0    0   -1    0 #> [367,]    0    0    0   -1    0 #> [368,]    0    0    0   -1    0 #> [369,]    0    0    0   -1    0 #> [370,]    0    0    0   -1    0 #> [371,]    0    0    0   -1    0 #> [372,]    0    0    0   -1    0 #> [373,]    0    0    0   -1    0 #> [374,]    0    0    0   -1    0 #> [375,]    0    0    0   -1    0 #> [376,]    0    0    0   -1    0 #> [377,]    0    0    0   -1    0 #> [378,]    0    0    0   -1    0 #> [379,]    0    0    0   -1    0 #> [380,]    0    0    0   -1    0 #> [381,]    0    0    0   -1    0 #> [382,]    0    0    0   -1    0 #> [383,]    0    0    0   -1    0 #> [384,]    0    0    0   -1    0 #> [385,]    0    0    0   -1    0 #> [386,]    0    0    0   -1    0 #> [387,]    0    0    0   -1    0 #> [388,]    0    0    0   -1    0 #> [389,]    0    0    0   -1    0 #> [390,]    0    0    0   -1    0 #> [391,]    0    0    0   -1    0 #> [392,]    0    0    0   -1    0 #> [393,]    0    0    0   -1    0 #> [394,]    0    0    0   -1    0 #> [395,]    0    0    0   -1    0 #> [396,]    0    0    0   -1    0 #> [397,]    0    0    0   -1    0 #> [398,]    0    0    0   -1    0 #> [399,]    0    0    0   -1    0 #> [400,]    0    0    0    0    0 #> [401,]    0    0    0    0    0 #> [402,]    0    0    0    0    0 #> [403,]    0    0    0    0    0 #> [404,]    0    0    0    0    0 #> [405,]    0    0    0    0    0 #> [406,]    0    0    0    0    0 #> [407,]    0    0    0    0    0 #> [408,]    0    0    0    0    0 #> [409,]    0    0    0    0    0 #> [410,]    0    0    0    0    0 #> [411,]    0    0    0    0    0 #> [412,]    0    0    0    0    0 #> [413,]    0    0    0    0    0 #> [414,]    0    0    0    0    0 #> [415,]    0    0    0    0    0 #> [416,]    0    0    0    0    0 #> [417,]    0    0    0    0    0 #> [418,]    0    0    0    0    0 #> [419,]    0    0    0    0    0 #> [420,]    0    0    0    0    0 #> [421,]    0    0    0    0    0 #> [422,]    0    0    0    0    0 #> [423,]    0    0    0    0    0 #> [424,]    0    0    0    0    0 #> [425,]    0    0    0    0    0 #>  #> $model$b #> [1] -210.91745  199.66569 -192.39785   84.32270  -77.78577 #>  #> $model$bcov #>               [,1]          [,2]          [,3]          [,4]          [,5] #> [1,]  1.258544e+03  5.076022e+01 -8.906666e-01 -1.197400e-05  -0.827996523 #> [2,]  5.076022e+01  1.258545e+03 -9.422003e-01 -1.454505e-05  -1.048251277 #> [3,] -8.906666e-01 -9.422003e-01  1.322416e+03  5.431398e-04 155.010519468 #> [4,] -1.197400e-05 -1.454505e-05  5.431398e-04  3.654102e+02   0.004446791 #> [5,] -8.279965e-01 -1.048251e+00  1.550105e+02  4.446791e-03 364.501084888 #>  #> $model$linearized #>   [1]  466.6369  509.1369  450.3369  465.6369  444.9369  471.6369  459.2369 #>   [8]  529.4369  895.8369  385.7369  384.5369  478.6369  509.9369  517.1369 #>  [15]  468.9369  474.8369  464.7369  489.2369  491.8369  575.2369  970.2369 #>  [22]  421.2369  421.0369  491.2369  493.8369  604.4369  506.9369  549.9369 #>  [29]  509.9369  529.3369  563.1369  629.7369 1045.9369  522.8369  459.0369 #>  [36]  532.3369  594.2369  706.8369  568.3369  609.3369  589.0369  569.6369 #>  [43]  643.6369  703.6369 1194.0369  577.0369  484.7369  553.9369  600.8369 #>  [50]  758.1369  559.9369  669.7369  587.6369  668.4369  672.1369  707.4369 #>  [57] 1374.4369  620.4369  519.7369  606.4369  680.6369  720.5369  677.0369 #>  [64]  727.4369  608.1369  678.8369  715.6369  749.7369 1466.6369  637.5369 #>  [71]  557.6369  684.6369  722.2369  747.3369  728.5369  690.0369  657.4369 #>  [78]  729.8369  736.1369  876.8369 1576.5369  638.0369  558.5369  725.5369 #>  [85]  704.1369  771.3369  792.8369  721.6369  730.3369  764.4369  758.2369 #>  [92]  930.3369 1575.9369  684.7369  592.7369  733.3369  750.6369  822.0369 #>  [99]  838.9369  716.8369  765.9369  747.6369  793.1369  938.0369 1569.6369 #> [106]  700.5369  611.2369  725.7369  754.7369  834.7369  753.4369  801.0369 #> [113]  776.9369  748.0369  865.1369  951.2369 1606.8369  746.5369  672.4369 #> [120]  708.0369  837.9369  885.1369  832.5369  794.7369  730.1369  826.3369 #> [127]  909.0369  975.1369 1657.4369  768.6369  649.5369  760.6369  847.2369 #> [134]  913.1369  893.6369  778.0369  735.2369  851.2369  893.4369  976.5369 #> [141] 1717.0369  752.2369  670.9369  828.0369  838.2369  914.5369  919.1369 #> [148]  789.4369  805.3369  893.5369  941.1369 1006.9369 1824.0369  758.9369 #> [155]  689.0369  817.7369  912.5369  933.7369  913.3369  887.1369  880.4369 #> [162]  863.3369  927.1369 1073.9369 1863.7369  839.6369  743.6369  818.5369 #> [169]  901.7369  969.3369  915.1369  914.5369  895.4369  840.2369  940.2369 #> [176] 1088.1369 1844.1369  847.4369  733.9369  864.4369  855.5369 1001.3369 #> [183]  836.7369  977.6369  842.5369  945.6369  983.4369 1117.8369 1885.6369 #> [190]  923.8369  722.7369  829.4369  976.6369  976.7369  855.9369 1048.8369 #> [197]  876.4369  945.9369 1027.8369 1144.2369 1982.2369  948.5369  744.9369 #> [204]  909.7369  959.7369 1017.7369  900.9369 1061.0369  906.0369 1008.8369 #> [211] 1050.2369 1213.7369 2076.1369  931.4369  804.7369  908.4369 1031.2369 #> [218] 1058.8369  972.3712 1076.7544 1015.7369 1061.1369 1076.9369 1239.0369 #> [225] 2184.0369  978.4369  821.1369 1024.0369 1045.7369 1130.0369 1031.4369 #> [232] 1107.3369  969.5369 1019.4369 1138.5369 1351.3369 2276.0369 1034.4369 #> [239]  847.9369 1050.4369 1081.8369 1197.4369 1149.5369 1082.2369 1072.4369 #> [246] 1066.6369 1217.9369 1501.6369 2345.1369 1105.8369  907.0369 1099.2369 #> [253] 1228.9369 1243.6369 1244.4369 1188.5369 1107.7369 1204.7369 1322.6369 #> [260] 1534.7369 2430.7369 1189.4369  996.3369 1137.9369 1283.6369 1286.8369 #> [267] 1390.6369 1312.4369 1173.3369 1324.4369 1364.8369 1543.2369 2507.3369 #> [274] 1252.8369 1043.8369 1307.3369 1352.6348 1270.7369 1460.7369 1374.4227 #> [281] 1295.0227 1362.1227 1398.7227 1624.7227 2620.3227 1278.0227 1122.0227 #> [288] 1288.8227 1432.9227 1351.9227 1513.3227 1496.3227 1323.5227 1303.4227 #> [295] 1428.9227 1707.6227 2695.4227 1351.6227 1131.3227 1415.9227 1386.9227 #> [302] 1449.4227 1575.8227 1546.6227 1399.8227 1437.6227 1524.9227 1772.2227 #> [309] 2831.3227 1482.1227 1224.8227 1436.0227 1480.9227 1505.4227 1485.9227 #> [316] 1666.6227 1352.7227 1467.6227 1536.7227 1760.2227 2970.4227 1535.3227 #> [323] 1140.9227 1471.2227 1593.4227 1603.7227 1584.8227 1655.0227 1425.8227 #> [330] 1484.2227 1618.6227 1820.9227 2879.4227 1553.4227 1196.2227 1464.2227 #> [337] 1474.0227 1511.5227 1635.7227 1665.3227 1408.3227 1506.3227 1549.2227 #> [344] 1789.8227 2836.7227 1496.9227 1201.8227 1405.9227 1556.9227 1493.2227 #> [351] 1556.2227 1616.8227 1377.8227 1430.0227 1489.0227 1744.3227 2814.8227 #> [358] 1446.7227 1216.0227 1433.5227 1475.5227 1541.2227 1700.7227 1507.7227 #> [365] 1443.3227 1452.1227 1526.9227 1757.2227 2837.6227 1481.7227 1197.9227 #> [372] 1481.6227 1423.4227 1526.2227 1621.7227 1474.9227 1421.5227 1443.7227 #> [379] 1547.6227 1753.2227 2809.8227 1535.3227 1149.2227 1377.5227 1527.2227 #> [386] 1496.1227 1545.9227 1585.9227 1338.5227 1440.7227 1563.0227 1772.0227 #> [393] 2841.2227 1555.5227 1138.1227 1451.5227 1526.5227 1513.0227 1565.2227 #> [400] 1540.9000 1331.9000 1400.1000 1566.3000 1730.5000 2913.6000 1519.2000 #> [407] 1155.8000 1451.5000 1451.0000 1449.7000 1596.1000 1468.3000 1293.9000 #> [414] 1393.5000 1497.4000 1684.3000 2850.4000 1428.5000 1092.4000 1370.3000 #> [421] 1522.6000 1452.4000 1557.2000 1445.5000 1303.1000 #>  #>  #> $likelihood #> $likelihood$initial #> $likelihood$initial$ll #> [1] -2218.964 #>  #> $likelihood$initial$ssq #> [1] 1139531 #>  #> $likelihood$initial$nobs #> [1] 425 #>  #> $likelihood$initial$neffective #> [1] -1 #>  #> $likelihood$initial$nparams #> [1] 3 #>  #> $likelihood$initial$df #> [1] 409 #>  #> $likelihood$initial$aic #> [1] 4443.928 #>  #> $likelihood$initial$aicc #> [1] 4443.987 #>  #> $likelihood$initial$bic #> [1] 4455.991 #>  #> $likelihood$initial$bic2 #> [1] 10.81551 #>  #> $likelihood$initial$bicc #> [1] 7.954332 #>  #> $likelihood$initial$hannanquinn #> [1] 4448.7 #>  #>  #> $likelihood$final #> $likelihood$final$ll #> [1] -2167.948 #>  #> $likelihood$final$ssq #> [1] 892303.8 #>  #> $likelihood$final$nobs #> [1] 425 #>  #> $likelihood$final$neffective #> [1] -1 #>  #> $likelihood$final$nparams #> [1] 6 #>  #> $likelihood$final$df #> [1] 406 #>  #> $likelihood$final$aic #> [1] 4347.896 #>  #> $likelihood$final$aicc #> [1] 4348.104 #>  #> $likelihood$final$bic #> [1] 4372.023 #>  #> $likelihood$final$bic2 #> [1] 10.61171 #>  #> $likelihood$final$bicc #> [1] 7.753609 #>  #> $likelihood$final$hannanquinn #> [1] 4357.439 #>  #>  #>  #> attr(,\"class\") #> [1] \"JD3_REGARIMA_OUTLIERS\""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":null,"dir":"Reference","previous_headings":"","what":"Display a list of all the available output objects — userdefined_variables_x13","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"Function generating comprehensive list available output variables (series, parameters, diagnostics) estimation process  x13(), regarima() x11() functions. items available default estimation output remainder can added using userdefined parameter. User-defined objects can retrieved list lists generated estimation process","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"","code":"userdefined_variables_x13(x = c(\"X-13\", \"RegArima\", \"X-11\"))"},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"x character indicate estimation function output items list displayed.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"vector containing names available output objects (series, diagnostics, parameters)","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"information examples related 'JDemetra+' features online documentation: https://jdemetra-new-documentation.netlify.app/","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/userdefined_variables_x13.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Display a list of all the available output objects — userdefined_variables_x13","text":"","code":"userdefined_variables_x13(\"x13\") #>   [1] \"adjust\"                               #>   [2] \"arima.bd\"                             #>   [3] \"arima.bp\"                             #>   [4] \"arima.bphi(*)\"                        #>   [5] \"arima.bq\"                             #>   [6] \"arima.btheta(*)\"                      #>   [7] \"arima.d\"                              #>   [8] \"arima.p\"                              #>   [9] \"arima.phi(*)\"                         #>  [10] \"arima.q\"                              #>  [11] \"arima.theta(*)\"                       #>  [12] \"benchmarking.original\"                #>  [13] \"benchmarking.result\"                  #>  [14] \"benchmarking.target\"                  #>  [15] \"cal\"                                  #>  [16] \"cal_b\"                                #>  [17] \"cal_b(?)\"                             #>  [18] \"cal_f\"                                #>  [19] \"cal_f(?)\"                             #>  [20] \"decomposition.b1\"                     #>  [21] \"decomposition.b10\"                    #>  [22] \"decomposition.b11\"                    #>  [23] \"decomposition.b13\"                    #>  [24] \"decomposition.b17\"                    #>  [25] \"decomposition.b2\"                     #>  [26] \"decomposition.b20\"                    #>  [27] \"decomposition.b3\"                     #>  [28] \"decomposition.b4\"                     #>  [29] \"decomposition.b5\"                     #>  [30] \"decomposition.b6\"                     #>  [31] \"decomposition.b7\"                     #>  [32] \"decomposition.b8\"                     #>  [33] \"decomposition.b9\"                     #>  [34] \"decomposition.c1\"                     #>  [35] \"decomposition.c10\"                    #>  [36] \"decomposition.c11\"                    #>  [37] \"decomposition.c13\"                    #>  [38] \"decomposition.c17\"                    #>  [39] \"decomposition.c2\"                     #>  [40] \"decomposition.c20\"                    #>  [41] \"decomposition.c4\"                     #>  [42] \"decomposition.c5\"                     #>  [43] \"decomposition.c6\"                     #>  [44] \"decomposition.c7\"                     #>  [45] \"decomposition.c9\"                     #>  [46] \"decomposition.d1\"                     #>  [47] \"decomposition.d10\"                    #>  [48] \"decomposition.d11\"                    #>  [49] \"decomposition.d12\"                    #>  [50] \"decomposition.d13\"                    #>  [51] \"decomposition.d2\"                     #>  [52] \"decomposition.d4\"                     #>  [53] \"decomposition.d5\"                     #>  [54] \"decomposition.d6\"                     #>  [55] \"decomposition.d7\"                     #>  [56] \"decomposition.d8\"                     #>  [57] \"decomposition.d9\"                     #>  [58] \"decomposition.d9-global-msr\"          #>  [59] \"decomposition.d9-msr\"                 #>  [60] \"decomposition.d9-msr-table\"           #>  [61] \"decomposition.i_cmp\"                  #>  [62] \"decomposition.s_cmp\"                  #>  [63] \"decomposition.s_cmp_b\"                #>  [64] \"decomposition.s_cmp_f\"                #>  [65] \"decomposition.sa_cmp\"                 #>  [66] \"decomposition.sa_cmp_b\"               #>  [67] \"decomposition.sa_cmp_f\"               #>  [68] \"decomposition.seasonal-filters\"       #>  [69] \"decomposition.si_cmp\"                 #>  [70] \"decomposition.t_cmp\"                  #>  [71] \"decomposition.t_cmp_b\"                #>  [72] \"decomposition.t_cmp_f\"                #>  [73] \"decomposition.trend-filter\"           #>  [74] \"decomposition.x11-all\"                #>  [75] \"decomposition.y_cmp\"                  #>  [76] \"decomposition.y_cmp_b\"                #>  [77] \"decomposition.y_cmp_f\"                #>  [78] \"det\"                                  #>  [79] \"det_b(?)\"                             #>  [80] \"det_f(?)\"                             #>  [81] \"det_i\"                                #>  [82] \"det_i_b(?)\"                           #>  [83] \"det_i_f(?)\"                           #>  [84] \"det_s\"                                #>  [85] \"det_s_b(?)\"                           #>  [86] \"det_s_f(?)\"                           #>  [87] \"det_t\"                                #>  [88] \"det_t_b(?)\"                           #>  [89] \"det_t_f(?)\"                           #>  [90] \"diagnostics.fcast-insample-mean\"      #>  [91] \"diagnostics.fcast-outsample-mean\"     #>  [92] \"diagnostics.fcast-outsample-variance\" #>  [93] \"diagnostics.seas-i-combined\"          #>  [94] \"diagnostics.seas-i-combined3\"         #>  [95] \"diagnostics.seas-i-evolutive\"         #>  [96] \"diagnostics.seas-i-f\"                 #>  [97] \"diagnostics.seas-i-friedman\"          #>  [98] \"diagnostics.seas-i-kw\"                #>  [99] \"diagnostics.seas-i-periodogram\"       #> [100] \"diagnostics.seas-i-qs\"                #> [101] \"diagnostics.seas-i-spectralpeaks\"     #> [102] \"diagnostics.seas-i-stable\"            #> [103] \"diagnostics.seas-lin-combined\"        #> [104] \"diagnostics.seas-lin-evolutive\"       #> [105] \"diagnostics.seas-lin-f\"               #> [106] \"diagnostics.seas-lin-friedman\"        #> [107] \"diagnostics.seas-lin-kw\"              #> [108] \"diagnostics.seas-lin-periodogram\"     #> [109] \"diagnostics.seas-lin-qs\"              #> [110] \"diagnostics.seas-lin-spectralpeaks\"   #> [111] \"diagnostics.seas-lin-stable\"          #> [112] \"diagnostics.seas-res-combined\"        #> [113] \"diagnostics.seas-res-combined3\"       #> [114] \"diagnostics.seas-res-evolutive\"       #> [115] \"diagnostics.seas-res-f\"               #> [116] \"diagnostics.seas-res-friedman\"        #> [117] \"diagnostics.seas-res-kw\"              #> [118] \"diagnostics.seas-res-periodogram\"     #> [119] \"diagnostics.seas-res-qs\"              #> [120] \"diagnostics.seas-res-spectralpeaks\"   #> [121] \"diagnostics.seas-res-stable\"          #> [122] \"diagnostics.seas-sa-ac1\"              #> [123] \"diagnostics.seas-sa-combined\"         #> [124] \"diagnostics.seas-sa-combined3\"        #> [125] \"diagnostics.seas-sa-evolutive\"        #> [126] \"diagnostics.seas-sa-f\"                #> [127] \"diagnostics.seas-sa-friedman\"         #> [128] \"diagnostics.seas-sa-kw\"               #> [129] \"diagnostics.seas-sa-periodogram\"      #> [130] \"diagnostics.seas-sa-qs\"               #> [131] \"diagnostics.seas-sa-spectralpeaks\"    #> [132] \"diagnostics.seas-sa-stable\"           #> [133] \"diagnostics.seas-si-combined\"         #> [134] \"diagnostics.seas-si-combined3\"        #> [135] \"diagnostics.seas-si-evolutive\"        #> [136] \"diagnostics.seas-si-stable\"           #> [137] \"diagnostics.td-i-all\"                 #> [138] \"diagnostics.td-i-last\"                #> [139] \"diagnostics.td-res-all\"               #> [140] \"diagnostics.td-res-last\"              #> [141] \"diagnostics.td-sa-all\"                #> [142] \"diagnostics.td-sa-last\"               #> [143] \"ee\"                                   #> [144] \"ee_b(?)\"                              #> [145] \"ee_f(?)\"                              #> [146] \"finals.d11\"                           #> [147] \"finals.d11a\"                          #> [148] \"finals.d11b\"                          #> [149] \"finals.d12\"                           #> [150] \"finals.d12a\"                          #> [151] \"finals.d12b\"                          #> [152] \"finals.d13\"                           #> [153] \"finals.d16\"                           #> [154] \"finals.d16a\"                          #> [155] \"finals.d16b\"                          #> [156] \"finals.d18\"                           #> [157] \"finals.d18a\"                          #> [158] \"finals.d18b\"                          #> [159] \"finals.e1\"                            #> [160] \"finals.e11\"                           #> [161] \"finals.e2\"                            #> [162] \"finals.e3\"                            #> [163] \"i\"                                    #> [164] \"l\"                                    #> [165] \"likelihood.adjustedll\"                #> [166] \"likelihood.aic\"                       #> [167] \"likelihood.aicc\"                      #> [168] \"likelihood.bic\"                       #> [169] \"likelihood.bic2\"                      #> [170] \"likelihood.bicc\"                      #> [171] \"likelihood.df\"                        #> [172] \"likelihood.hannanquinn\"               #> [173] \"likelihood.ll\"                        #> [174] \"likelihood.neffectiveobs\"             #> [175] \"likelihood.nobs\"                      #> [176] \"likelihood.nparams\"                   #> [177] \"likelihood.ssqerr\"                    #> [178] \"log\"                                  #> [179] \"m-statistics.m1\"                      #> [180] \"m-statistics.m10\"                     #> [181] \"m-statistics.m11\"                     #> [182] \"m-statistics.m2\"                      #> [183] \"m-statistics.m3\"                      #> [184] \"m-statistics.m4\"                      #> [185] \"m-statistics.m5\"                      #> [186] \"m-statistics.m6\"                      #> [187] \"m-statistics.m7\"                      #> [188] \"m-statistics.m8\"                      #> [189] \"m-statistics.m9\"                      #> [190] \"m-statistics.q\"                       #> [191] \"m-statistics.q-m2\"                    #> [192] \"mhe\"                                  #> [193] \"mhe_b(?)\"                             #> [194] \"mhe_f(?)\"                             #> [195] \"omhe\"                                 #> [196] \"omhe_b(?)\"                            #> [197] \"omhe_f(?)\"                            #> [198] \"out\"                                  #> [199] \"out_b(?)\"                             #> [200] \"out_f(?)\"                             #> [201] \"out_i\"                                #> [202] \"out_i_b(?)\"                           #> [203] \"out_i_f(?)\"                           #> [204] \"out_s\"                                #> [205] \"out_s_b(?)\"                           #> [206] \"out_s_f(?)\"                           #> [207] \"out_t\"                                #> [208] \"out_t_b(?)\"                           #> [209] \"out_t_f(?)\"                           #> [210] \"period\"                               #> [211] \"preadjustment.a1\"                     #> [212] \"preadjustment.a1a\"                    #> [213] \"preadjustment.a1b\"                    #> [214] \"preadjustment.a6\"                     #> [215] \"preadjustment.a7\"                     #> [216] \"preadjustment.a8\"                     #> [217] \"preadjustment.a8i\"                    #> [218] \"preadjustment.a8s\"                    #> [219] \"preadjustment.a8t\"                    #> [220] \"preadjustment.a9\"                     #> [221] \"preadjustment.a9sa\"                   #> [222] \"preadjustment.a9ser\"                  #> [223] \"preadjustment.a9u\"                    #> [224] \"reg_i\"                                #> [225] \"reg_i_b(?)\"                           #> [226] \"reg_i_f(?)\"                           #> [227] \"reg_s\"                                #> [228] \"reg_s_b(?)\"                           #> [229] \"reg_s_f(?)\"                           #> [230] \"reg_sa\"                               #> [231] \"reg_sa_b(?)\"                          #> [232] \"reg_sa_f(?)\"                          #> [233] \"reg_t\"                                #> [234] \"reg_t_b(?)\"                           #> [235] \"reg_t_f(?)\"                           #> [236] \"reg_u\"                                #> [237] \"reg_u_b(?)\"                           #> [238] \"reg_u_f(?)\"                           #> [239] \"reg_y\"                                #> [240] \"reg_y_b(?)\"                           #> [241] \"reg_y_f(?)\"                           #> [242] \"regression.description\"               #> [243] \"regression.details.coefficients\"      #> [244] \"regression.details.covar\"             #> [245] \"regression.details.covar-ml\"          #> [246] \"regression.easter\"                    #> [247] \"regression.espan.end\"                 #> [248] \"regression.espan.missing\"             #> [249] \"regression.espan.n\"                   #> [250] \"regression.espan.start\"               #> [251] \"regression.leaster\"                   #> [252] \"regression.lp\"                        #> [253] \"regression.mean\"                      #> [254] \"regression.missing(*)\"                #> [255] \"regression.ml.parameters\"             #> [256] \"regression.ml.pcorr\"                  #> [257] \"regression.ml.pcovar\"                 #> [258] \"regression.ml.pcovar-ml\"              #> [259] \"regression.ml.pscore\"                 #> [260] \"regression.mu\"                        #> [261] \"regression.nao\"                       #> [262] \"regression.nlp\"                       #> [263] \"regression.nls\"                       #> [264] \"regression.nmh\"                       #> [265] \"regression.nout\"                      #> [266] \"regression.nso\"                       #> [267] \"regression.ntc\"                       #> [268] \"regression.ntd\"                       #> [269] \"regression.nusers\"                    #> [270] \"regression.out(*)\"                    #> [271] \"regression.outlier(*)\"                #> [272] \"regression.td(*)\"                     #> [273] \"regression.type\"                      #> [274] \"regression.user(*)\"                   #> [275] \"residuals.bp\"                         #> [276] \"residuals.bp2\"                        #> [277] \"residuals.doornikhansen\"              #> [278] \"residuals.kurtosis\"                   #> [279] \"residuals.lb\"                         #> [280] \"residuals.lb2\"                        #> [281] \"residuals.lruns\"                      #> [282] \"residuals.ludruns\"                    #> [283] \"residuals.mean\"                       #> [284] \"residuals.nruns\"                      #> [285] \"residuals.nudruns\"                    #> [286] \"residuals.res\"                        #> [287] \"residuals.seasbp\"                     #> [288] \"residuals.seaslb\"                     #> [289] \"residuals.ser\"                        #> [290] \"residuals.skewness\"                   #> [291] \"residuals.tsres\"                      #> [292] \"residuals.type\"                       #> [293] \"s\"                                    #> [294] \"s_b\"                                  #> [295] \"s_f\"                                  #> [296] \"sa\"                                   #> [297] \"sa_b\"                                 #> [298] \"sa_f\"                                 #> [299] \"span.end\"                             #> [300] \"span.missing\"                         #> [301] \"span.n\"                               #> [302] \"span.start\"                           #> [303] \"t\"                                    #> [304] \"t_b\"                                  #> [305] \"t_f\"                                  #> [306] \"tde\"                                  #> [307] \"tde_b(?)\"                             #> [308] \"tde_f(?)\"                             #> [309] \"variancedecomposition.cycle\"          #> [310] \"variancedecomposition.irregular\"      #> [311] \"variancedecomposition.others\"         #> [312] \"variancedecomposition.seasonality\"    #> [313] \"variancedecomposition.tdh\"            #> [314] \"variancedecomposition.total\"          #> [315] \"y\"                                    #> [316] \"y_b\"                                  #> [317] \"y_b(?)\"                               #> [318] \"y_eb(?)\"                              #> [319] \"y_ef(?)\"                              #> [320] \"y_f\"                                  #> [321] \"y_f(?)\"                               #> [322] \"yc\"                                   #> [323] \"ycal\"                                 #> [324] \"ycal_f(?)\"                            userdefined_variables_x13(\"regarima\") #>   [1] \"adjust\"                          \"arima.bd\"                        #>   [3] \"arima.bp\"                        \"arima.bphi(*)\"                   #>   [5] \"arima.bq\"                        \"arima.btheta(*)\"                 #>   [7] \"arima.d\"                         \"arima.p\"                         #>   [9] \"arima.phi(*)\"                    \"arima.q\"                         #>  [11] \"arima.theta(*)\"                  \"cal\"                             #>  [13] \"cal_b(?)\"                        \"cal_f(?)\"                        #>  [15] \"det\"                             \"det_b(?)\"                        #>  [17] \"det_f(?)\"                        \"det_i\"                           #>  [19] \"det_i_b(?)\"                      \"det_i_f(?)\"                      #>  [21] \"det_s\"                           \"det_s_b(?)\"                      #>  [23] \"det_s_f(?)\"                      \"det_t\"                           #>  [25] \"det_t_b(?)\"                      \"det_t_f(?)\"                      #>  [27] \"ee\"                              \"ee_b(?)\"                         #>  [29] \"ee_f(?)\"                         \"l\"                               #>  [31] \"likelihood.adjustedll\"           \"likelihood.aic\"                  #>  [33] \"likelihood.aicc\"                 \"likelihood.bic\"                  #>  [35] \"likelihood.bic2\"                 \"likelihood.bicc\"                 #>  [37] \"likelihood.df\"                   \"likelihood.hannanquinn\"          #>  [39] \"likelihood.ll\"                   \"likelihood.neffectiveobs\"        #>  [41] \"likelihood.nobs\"                 \"likelihood.nparams\"              #>  [43] \"likelihood.ssqerr\"               \"log\"                             #>  [45] \"mhe\"                             \"mhe_b(?)\"                        #>  [47] \"mhe_f(?)\"                        \"omhe\"                            #>  [49] \"omhe_b(?)\"                       \"omhe_f(?)\"                       #>  [51] \"out\"                             \"out_b(?)\"                        #>  [53] \"out_f(?)\"                        \"out_i\"                           #>  [55] \"out_i_b(?)\"                      \"out_i_f(?)\"                      #>  [57] \"out_s\"                           \"out_s_b(?)\"                      #>  [59] \"out_s_f(?)\"                      \"out_t\"                           #>  [61] \"out_t_b(?)\"                      \"out_t_f(?)\"                      #>  [63] \"period\"                          \"reg_i\"                           #>  [65] \"reg_i_b(?)\"                      \"reg_i_f(?)\"                      #>  [67] \"reg_s\"                           \"reg_s_b(?)\"                      #>  [69] \"reg_s_f(?)\"                      \"reg_sa\"                          #>  [71] \"reg_sa_b(?)\"                     \"reg_sa_f(?)\"                     #>  [73] \"reg_t\"                           \"reg_t_b(?)\"                      #>  [75] \"reg_t_f(?)\"                      \"reg_u\"                           #>  [77] \"reg_u_b(?)\"                      \"reg_u_f(?)\"                      #>  [79] \"reg_y\"                           \"reg_y_b(?)\"                      #>  [81] \"reg_y_f(?)\"                      \"regression.description\"          #>  [83] \"regression.details.coefficients\" \"regression.details.covar\"        #>  [85] \"regression.details.covar-ml\"     \"regression.easter\"               #>  [87] \"regression.espan.end\"            \"regression.espan.missing\"        #>  [89] \"regression.espan.n\"              \"regression.espan.start\"          #>  [91] \"regression.leaster\"              \"regression.lp\"                   #>  [93] \"regression.mean\"                 \"regression.missing(*)\"           #>  [95] \"regression.ml.parameters\"        \"regression.ml.pcorr\"             #>  [97] \"regression.ml.pcovar\"            \"regression.ml.pcovar-ml\"         #>  [99] \"regression.ml.pscore\"            \"regression.mu\"                   #> [101] \"regression.nao\"                  \"regression.nlp\"                  #> [103] \"regression.nls\"                  \"regression.nmh\"                  #> [105] \"regression.nout\"                 \"regression.nso\"                  #> [107] \"regression.ntc\"                  \"regression.ntd\"                  #> [109] \"regression.nusers\"               \"regression.out(*)\"               #> [111] \"regression.outlier(*)\"           \"regression.td(*)\"                #> [113] \"regression.type\"                 \"regression.user(*)\"              #> [115] \"residuals.bp\"                    \"residuals.bp2\"                   #> [117] \"residuals.doornikhansen\"         \"residuals.kurtosis\"              #> [119] \"residuals.lb\"                    \"residuals.lb2\"                   #> [121] \"residuals.lruns\"                 \"residuals.ludruns\"               #> [123] \"residuals.mean\"                  \"residuals.nruns\"                 #> [125] \"residuals.nudruns\"               \"residuals.res\"                   #> [127] \"residuals.seasbp\"                \"residuals.seaslb\"                #> [129] \"residuals.ser\"                   \"residuals.skewness\"              #> [131] \"residuals.tsres\"                 \"residuals.type\"                  #> [133] \"span.end\"                        \"span.missing\"                    #> [135] \"span.n\"                          \"span.start\"                      #> [137] \"tde\"                             \"tde_b(?)\"                        #> [139] \"tde_f(?)\"                        \"y\"                               #> [141] \"y_b(?)\"                          \"y_eb(?)\"                         #> [143] \"y_ef(?)\"                         \"y_f(?)\"                          #> [145] \"yc\"                              \"ycal\"                            #> [147] \"ycal_f(?)\"                       userdefined_variables_x13(\"x11\") #>  [1] \"b1\"               \"b10\"              \"b11\"              \"b13\"              #>  [5] \"b17\"              \"b2\"               \"b20\"              \"b3\"               #>  [9] \"b4\"               \"b5\"               \"b6\"               \"b7\"               #> [13] \"b8\"               \"b9\"               \"c1\"               \"c10\"              #> [17] \"c11\"              \"c13\"              \"c17\"              \"c2\"               #> [21] \"c20\"              \"c4\"               \"c5\"               \"c6\"               #> [25] \"c7\"               \"c9\"               \"d1\"               \"d10\"              #> [29] \"d11\"              \"d12\"              \"d13\"              \"d2\"               #> [33] \"d4\"               \"d5\"               \"d6\"               \"d7\"               #> [37] \"d8\"               \"d9\"               \"d9-global-msr\"    \"d9-msr\"           #> [41] \"d9-msr-table\"     \"seasonal-filters\" \"trend-filter\"     \"x11-all\""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":null,"dir":"Reference","previous_headings":"","what":"X-11 Decomposition Algorithm — x11","title":"X-11 Decomposition Algorithm — x11","text":"X-11 Decomposition Algorithm","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"X-11 Decomposition Algorithm — x11","text":"","code":"x11(ts, spec = x11_spec(), userdefined = NULL)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"X-11 Decomposition Algorithm — x11","text":"ts univariate time series. spec specification. userdefined vector containing additional output variables (see x13_dictionary()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"X-11 Decomposition Algorithm — x11","text":"","code":"y <- rjd3toolkit::ABS$X0.2.09.10.M x11_spec <- x11_spec() x11(y, x11_spec) #> Last values #>                d1 d2 d4        d5       d6       d7        d8        d9 #> Mar 2017 1370.300 NA NA 0.8961795 1529.046 1549.437 0.8843860       NaN #> Apr 2017 1508.745 NA NA 0.9370285 1610.138 1551.362 0.9814599 0.9725289 #> May 2017 1452.400 NA NA 0.9240579 1571.763 1552.613 0.9354553       NaN #> Jun 2017 1557.200 NA NA 0.9906046 1571.969 1554.256 1.0018939       NaN #> Jul 2017 1451.753 NA NA 0.9669725 1501.339 1554.036 0.9301585 0.9341824 #> Aug 2017 1303.100 NA NA 0.8370380 1556.799 1554.112 0.8384851       NaN #>                d10      d11      d12       d13 #> Mar 2017 0.8911974 1537.594 1549.121 0.9925591 #> Apr 2017 0.9472835 1607.333 1550.650 1.0365542 #> May 2017 0.9277056 1565.583 1551.579 1.0090258 #> Jun 2017 0.9945226 1565.776 1552.914 1.0082826 #> Jul 2017 0.9598855 1505.909 1552.756 0.9698294 #> Aug 2017 0.8381839 1554.671 1552.438 1.0014382 x11_spec <- set_x11(x11_spec, henderson.filter = 13) x11(y, x11_spec) #> Last values #>                d1 d2 d4        d5       d6       d7        d8        d9 #> Mar 2017 1370.300 NA NA 0.8957968 1529.700 1556.611 0.8803097       NaN #> Apr 2017 1521.625 NA NA 0.9391175 1620.271 1562.636 0.9743791 0.9737554 #> May 2017 1452.400 NA NA 0.9239661 1571.919 1563.794 0.9287669       NaN #> Jun 2017 1557.200 NA NA 0.9916495 1570.313 1560.504 0.9978827       NaN #> Jul 2017 1453.790 NA NA 0.9669146 1503.535 1555.034 0.9295618 0.9348928 #> Aug 2017 1303.100 NA NA 0.8369658 1556.933 1547.539 0.8420469       NaN #>                d10      d11      d12       d13 #> Mar 2017 0.8899565 1539.738 1556.256 0.9893865 #> Apr 2017 0.9498667 1602.962 1560.758 1.0270404 #> May 2017 0.9267578 1567.184 1560.959 1.0039883 #> Jun 2017 0.9952607 1564.615 1557.551 1.0045354 #> Jul 2017 0.9607704 1504.522 1552.689 0.9689783 #> Aug 2017 0.8393622 1552.488 1545.113 1.0047731"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":null,"dir":"Reference","previous_headings":"","what":"Set X-11 Specification — set_x11","title":"Set X-11 Specification — set_x11","text":"Set X-11 Specification","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set X-11 Specification — set_x11","text":"","code":"set_x11(   x,   mode = c(NA, \"Undefined\", \"Additive\", \"Multiplicative\", \"LogAdditive\",     \"PseudoAdditive\"),   seasonal.comp = NA,   seasonal.filter = NA,   henderson.filter = NA,   lsigma = NA,   usigma = NA,   fcasts = NA,   bcasts = NA,   calendar.sigma = c(NA, \"None\", \"Signif\", \"All\", \"Select\"),   sigma.vector = NA,   exclude.forecast = NA,   bias = c(NA, \"LEGACY\") )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set X-11 Specification — set_x11","text":"x specification modified, object class \"JD3_X11_SPEC\", default X11 spec can obtained 'x=x11_spec()' mode character: decomposition mode. Determines mode seasonal adjustment decomposition performed: \"Undefined\" - assumption concerning relationship time series components made; \"Additive\" - assumes additive relationship; \"Multiplicative\" - assumes multiplicative relationship; \"LogAdditive\" - performs additive decomposition logarithms series adjusted; \"PseudoAdditive\" - assumes pseudo-additive relationship. changed program, needed. seasonal.comp logical: TRUE, program computes seasonal component. Otherwise, seasonal component estimated values set 0 (additive decomposition) 1 (multiplicative decomposition). seasonal.filter vector character(s) specifying seasonal moving average (.e. seasonal filter) used estimate seasonal factors entire series. vector can length: 1 - seasonal filter used periods (e.g.: seasonal.filter = \"Msr\" seasonal.filter = \"S3X3\" ); different value quarter (length 4) month (length 12) - (e.g. quarterly series: seasonal.filter = c(\"S3X3\", \"Msr\", \"S3X3\", \"Msr\")). Possible filters : \"Msr\", \"Stable\", \"X11Default\", \"S3X1\", \"S3X3\", \"S3X5\", \"S3X9\", \"S3X15\". \"Msr\" - program chooses final seasonal filter automatically. henderson.filter numeric: length Henderson filter (odd number 3 101). henderson.filter = 0 automatic selection Henderson filter's length trend estimation enabled. lsigma numeric: lower sigma boundary detection extreme values, > 0.5, default=1.5. usigma numeric: upper sigma boundary detection extreme values, > lsigma, default=2.5. bcasts, fcasts numeric: number backasts (bcasts) forecasts (fcasts) generated RegARIMA model periods (positive values) years (negative values).Default values: fcasts=-1 bcasts=0. calendar.sigma character specify standard errors used extreme values detection adjustment computed: 5 year spans irregulars (\"None\", default value); separately calendar period (\"\"); separately period Cochran's hypothesis test determines irregular component heteroskedastic calendar month/quarter (\"Signif\"); separately two complementary sets calendar months/quarters specified x11.sigmaVector parameter (\"Select\", see parameter sigma.vector). sigma.vector vector specify one two groups periods standard errors used extreme values detection adjustment computed separately. used calendar.sigma = \"Select\". Possible values : 1 2. exclude.forecast Boolean exclude forecasts backcasts. TRUE, RegARIMA model forecasts backcasts used detection extreme values seasonal adjustment routines.Default= FALSE. bias TODO.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set X-11 Specification — set_x11","text":"\"JD3_X11_SPEC\" object, containing parameters.","code":""},{"path":[]},{"path":"https://rjdverse.github.io/rjd3x13/reference/x11_spec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set X-11 Specification — set_x11","text":"","code":"init_spec <- x11_spec() new_spec <- set_x11(init_spec,                    mode = \"LogAdditive\",                    seasonal.comp = 1,                    seasonal.filter = \"S3X9\",                    henderson.filter = 7,                    lsigma = 1.7,                    usigma = 2.7,                    fcasts = -1,                    bcasts = -1,                    calendar.sigma =\"All\",                    sigma.vector = NA,                    exclude.forecast = FALSE,                    bias = \"LEGACY\")"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":null,"dir":"Reference","previous_headings":"","what":"Seasonal Adjustment with X13-ARIMA — x13","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"Seasonal Adjustment  X13-ARIMA","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"","code":"x13(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )  x13_fast(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )  .jx13(   ts,   spec = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"),   context = NULL,   userdefined = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"ts univariate time series. spec model specification. Can either name predefined specification user-defined specification. context list external regressors (calendar ) used estimation userdefined vector containing additional output variables (see x13_dictionary()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"x13() function returns list results, estimation specification result specification, x13_fast() faster function returns results. .jx13() functions returns results java object allow customize outputs packages (use rjd3toolkit::dictionary() get list variables rjd3toolkit::result() get specific variable). estimation functions x13() x13_fast() can directly use specification name (string). want customize specification create specification object first.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Seasonal Adjustment with X13-ARIMA — x13","text":"","code":"y = rjd3toolkit::ABS$X0.2.09.10.M x13_fast(y,\"rsa3\") #> RegARIMA #> Log-transformation: yes  #> SARIMA model:  (2,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.38042    0.06517   5.838 #> phi(2)     0.21398    0.06040   3.543 #> theta(1)  -0.70246    0.05146 -13.650 #> btheta(1) -0.56259    0.06648  -8.462 #>  #> Regression model: #>                 Estimate Std. Error T-stat #> TC (2000-06-01)  0.15476    0.03158  4.900 #> AO (2000-07-01) -0.29505    0.04425 -6.668 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  7  #>  #> Loglikelihood:  720.2196  #> Adjusted loglikelihood:  -2147.407  #>  #> Standard error of the regression (ML estimate):  0.04181753  #> AIC:  4308.814  #> AICC:  4309.092  #> BIC:  4336.962  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.095 #> m2    0.097 #> m3    2.384 #> m4    0.403 #> m5    1.940 #> m6    0.179 #> m7    0.053 #> m8    0.176 #> m9    0.047 #> m10   0.157 #> m11   0.154 #> q     0.560 #> qm2   0.617 #>  #> Final filters:  #> Seasonal filter:  3 #> Trend filter: 23 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle        13.259 #>  seasonal     86.854 #>  irregular     0.970 #>  calendar      0.000 #>  others        0.299 #>  total       101.383 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.994 #>  seas.ftest.sa    0.999 #>  seas.qstest.i    0.045 #>  seas.qstest.sa   0.035 #>  td.ftest.i       0.000 #>  td.ftest.sa      0.000 #>  #>  #> Final #> Last values #>          series       sa    trend      seas       irr #> Sep 2016 1393.5 1558.700 1547.466 0.8940140 1.0072601 #> Oct 2016 1497.4 1539.619 1543.359 0.9725785 0.9975766 #> Nov 2016 1684.3 1540.423 1541.287 1.0934011 0.9994390 #> Dec 2016 2850.4 1561.106 1541.060 1.8258848 1.0130078 #> Jan 2017 1428.5 1513.071 1542.061 0.9441065 0.9812005 #> Feb 2017 1092.4 1538.709 1543.697 0.7099456 0.9967689 #> Mar 2017 1370.3 1532.681 1545.484 0.8940545 0.9917157 #> Apr 2017 1522.6 1609.073 1547.232 0.9462594 1.0399684 #> May 2017 1452.4 1563.830 1548.782 0.9287456 1.0097158 #> Jun 2017 1557.2 1561.361 1549.791 0.9973351 1.0074658 #> Jul 2017 1445.5 1519.197 1550.206 0.9514898 0.9799965 #> Aug 2017 1303.1 1554.064 1550.306 0.8385112 1.0024242 x13(y,\"rsa5c\") #> RegARIMA #> Log-transformation: yes  #> SARIMA model:  (0,1,1) (1,1,1) #>  #> Coefficients #>           Estimate Std. Error T-stat #> theta(1)  -0.81551    0.06932 -11.76 #> bphi(1)   -0.43410    0.02650 -16.38 #> btheta(1) -0.82463    0.04458 -18.50 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> monday          -0.009156   0.003278 -2.793 #> tuesday          0.004523   0.003316  1.364 #> wednesday       -0.001181   0.003285 -0.360 #> thursday         0.013349   0.003304  4.040 #> friday          -0.001501   0.003313 -0.453 #> saturday         0.014993   0.003293  4.553 #> easter           0.051061   0.006629  7.703 #> TC (2000-06-01)  0.162337   0.026546  6.115 #> AO (2000-07-01) -0.306371   0.032121 -9.538 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  13  #>  #> Loglikelihood:  794.8103  #> Adjusted loglikelihood:  -2072.816  #>  #> Standard error of the regression (ML estimate):  0.03486636  #> AIC:  4171.633  #> AICC:  4172.548  #> BIC:  4223.906  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.054 #> m2    0.049 #> m3    1.765 #> m4    0.089 #> m5    1.416 #> m6    0.012 #> m7    0.052 #> m8    0.160 #> m9    0.050 #> m10   0.124 #> m11   0.122 #> q     0.385 #> qm2   0.427 #>  #> Final filters:  #> Seasonal filter:  3 #> Trend filter: 23 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle        13.437 #>  seasonal     86.536 #>  irregular     0.489 #>  calendar      0.599 #>  others        0.323 #>  total       101.383 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.977 #>  seas.ftest.sa    0.986 #>  seas.qstest.i    0.010 #>  seas.qstest.sa   0.004 #>  td.ftest.i       0.993 #>  td.ftest.sa      0.996 #>  #>  #> Final #> Last values #>          series       sa    trend      seas       irr #> Sep 2016 1393.5 1544.948 1548.898 0.9019720 0.9974502 #> Oct 2016 1497.4 1569.409 1547.139 0.9541172 1.0143941 #> Nov 2016 1684.3 1523.294 1546.638 1.1056959 0.9849069 #> Dec 2016 2850.4 1536.891 1546.939 1.8546531 0.9935050 #> Jan 2017 1428.5 1547.514 1547.658 0.9230932 0.9999075 #> Feb 2017 1092.4 1545.578 1548.351 0.7067905 0.9982091 #> Mar 2017 1370.3 1556.916 1548.748 0.8801376 1.0052738 #> Apr 2017 1522.6 1587.923 1548.518 0.9588628 1.0254470 #> May 2017 1452.4 1555.226 1547.332 0.9338837 1.0051016 #> Jun 2017 1557.2 1539.877 1545.264 1.0112493 0.9965141 #> Jul 2017 1445.5 1532.112 1542.797 0.9434688 0.9930744 #> Aug 2017 1303.1 1524.535 1540.385 0.8547526 0.9897103 regarima_fast(y,\"rg0\") #> Log-transformation: no  #> SARIMA model:  (0,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> theta(1)  -0.87640    0.02290 -38.275 #> btheta(1) -0.38755    0.05071  -7.642 #>  #> No regression variables #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  3  #>  #> Loglikelihood:  -2218.964  #> Standard error of the regression (ML estimate):  52.59136  #> AIC:  4443.928  #> AICC:  4443.987  #> BIC:  4455.991  #>  regarima(y,\"rg3\") #> Log-transformation: yes  #> SARIMA model:  (2,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.38042    0.06517   5.838 #> phi(2)     0.21398    0.06040   3.543 #> theta(1)  -0.70246    0.05146 -13.650 #> btheta(1) -0.56259    0.06648  -8.462 #>  #> Regression model: #>                 Estimate Std. Error T-stat #> TC (2000-06-01)  0.15476    0.03158  4.900 #> AO (2000-07-01) -0.29505    0.04425 -6.668 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  7  #>  #> Loglikelihood:  720.2196  #> Adjusted loglikelihood:  -2147.407  #>  #> Standard error of the regression (ML estimate):  0.04181753  #> AIC:  4308.814  #> AICC:  4309.092  #> BIC:  4336.962  #>   sp = x13_spec(\"rsa5c\") sp = rjd3toolkit::add_outlier(sp,                  type = c(\"AO\"), c(\"2015-01-01\", \"2010-01-01\")) sp =  rjd3toolkit::set_transform(    rjd3toolkit::set_tradingdays(      rjd3toolkit::set_easter(sp, enabled = FALSE),     option = \"workingdays\"   ),   fun = \"None\" ) x13(y,spec=sp) #> RegARIMA #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.16557    0.06461   2.563 #> phi(2)     0.08780    0.06435   1.364 #> phi(3)    -0.11287    0.06047  -1.867 #> theta(1)  -0.86076    0.03927 -21.918 #> btheta(1) -0.22918    0.05193  -4.413 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0015     0.8098  1.237 #> lp                29.6392    11.5469  2.567 #> AO (2010-01-01)   37.0476    34.4300  1.076 #> AO (2015-01-01)   27.9946    35.0234  0.799 #> AO (2000-06-01)  199.7536    34.5756  5.777 #> AO (2000-07-01) -194.6887    34.6240 -5.623 #> LS (2005-04-01)  -82.3062    17.4210 -4.725 #> LS (2015-07-01)   81.3334    18.0924  4.495 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  14  #>  #> Loglikelihood:  -2159.902  #> Standard error of the regression (ML estimate):  45.632  #> AIC:  4347.804  #> AICC:  4348.862  #> BIC:  4404.099  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.043 #> m2    0.033 #> m3    1.909 #> m4    0.447 #> m5    1.607 #> m6    0.399 #> m7    0.167 #> m8    0.298 #> m9    0.145 #> m10   0.308 #> m11   0.293 #> q     0.552 #> qm2   0.624 #>  #> Final filters:  #> Seasonal filter:  2 #> Trend filter: 23 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle         6.178 #>  seasonal     94.402 #>  irregular     0.325 #>  calendar      0.020 #>  others        1.504 #>  total       102.429 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.902 #>  seas.ftest.sa    0.996 #>  seas.qstest.i    0.038 #>  seas.qstest.sa   0.138 #>  td.ftest.i       0.000 #>  td.ftest.sa      0.000 #>  #>  #> Final #> Last values #>          series       sa    trend        seas        irr #> Sep 2016 1393.5 1567.439 1554.386 -173.938673  13.052790 #> Oct 2016 1497.4 1547.052 1551.116  -49.651713  -4.064205 #> Nov 2016 1684.3 1544.888 1549.070  139.411575  -4.182012 #> Dec 2016 2850.4 1560.255 1548.078 1290.145096  12.177219 #> Jan 2017 1428.5 1529.584 1547.770 -101.084412 -18.185622 #> Feb 2017 1092.4 1552.751 1547.915 -460.350943   4.835817 #> Mar 2017 1370.3 1532.112 1548.227 -161.812246 -16.114386 #> Apr 2017 1522.6 1571.429 1548.386  -48.829077  23.042779 #> May 2017 1452.4 1554.351 1548.282 -101.951014   6.069336 #> Jun 2017 1557.2 1548.139 1547.682    9.061423   0.456243 #> Jul 2017 1445.5 1540.321 1546.422  -94.820887  -6.101117 #> Aug 2017 1303.1 1554.506 1544.648 -251.405622   9.857735 sp = set_x11(sp,              henderson.filter = 13) x13_fast(y, spec = sp) #> RegARIMA #> Log-transformation: no  #> SARIMA model:  (3,1,1) (0,1,1) #>  #> Coefficients #>           Estimate Std. Error  T-stat #> phi(1)     0.16557    0.06461   2.563 #> phi(2)     0.08780    0.06435   1.364 #> phi(3)    -0.11287    0.06047  -1.867 #> theta(1)  -0.86076    0.03927 -21.918 #> btheta(1) -0.22918    0.05193  -4.413 #>  #> Regression model: #>                  Estimate Std. Error T-stat #> td                 1.0015     0.8098  1.237 #> lp                29.6392    11.5469  2.567 #> AO (2010-01-01)   37.0476    34.4300  1.076 #> AO (2015-01-01)   27.9946    35.0234  0.799 #> AO (2000-06-01)  199.7536    34.5756  5.777 #> AO (2000-07-01) -194.6887    34.6240 -5.623 #> LS (2005-04-01)  -82.3062    17.4210 -4.725 #> LS (2015-07-01)   81.3334    18.0924  4.495 #> Number of observations:  425  #> Number of effective observations:  412  #> Number of parameters:  14  #>  #> Loglikelihood:  -2159.902  #> Standard error of the regression (ML estimate):  45.632  #> AIC:  4347.804  #> AICC:  4348.862  #> BIC:  4404.099  #>  #>  #> Decomposition #> Monitoring and Quality Assessment Statistics:  #>     M stats #> m1    0.036 #> m2    0.029 #> m3    1.786 #> m4    0.537 #> m5    1.528 #> m6    0.449 #> m7    0.167 #> m8    0.290 #> m9    0.144 #> m10   0.297 #> m11   0.285 #> q     0.533 #> qm2   0.604 #>  #> Final filters:  #> Seasonal filter:  2 #> Trend filter: 13 terms Henderson moving average #>  #> Diagnostics #> Relative contribution of the components to the stationary #> portion of the variance in the original series, #> after the removal of the long term trend (in %) #>  #>            Component #>  cycle         6.227 #>  seasonal     94.535 #>  irregular     0.290 #>  calendar      0.020 #>  others        1.506 #>  total       102.578 #>  #> Residual seasonality tests #>                 P.value #>  seas.ftest.i     0.924 #>  seas.ftest.sa    0.997 #>  seas.qstest.i    0.018 #>  seas.qstest.sa   0.117 #>  td.ftest.i       0.000 #>  td.ftest.sa      0.000 #>  #>  #> Final #> Last values #>          series       sa    trend        seas        irr #> Sep 2016 1393.5 1567.255 1554.069 -173.754955  13.186079 #> Oct 2016 1497.4 1547.824 1551.331  -50.424459  -3.506850 #> Nov 2016 1684.3 1546.128 1548.057  138.172189  -1.929197 #> Dec 2016 2850.4 1557.769 1545.941 1292.630528  11.828053 #> Jan 2017 1428.5 1530.142 1545.777 -101.642006 -15.634829 #> Feb 2017 1092.4 1552.860 1546.573 -460.459760   6.287131 #> Mar 2017 1370.3 1532.029 1548.853 -161.728778 -16.824581 #> Apr 2017 1522.6 1571.073 1551.472  -48.473184  19.601512 #> May 2017 1452.4 1554.849 1552.698 -102.448692   2.151163 #> Jun 2017 1557.2 1550.052 1552.154    7.148413  -2.102681 #> Jul 2017 1445.5 1541.002 1549.653  -95.502435  -8.650144 #> Aug 2017 1303.1 1554.802 1545.625 -251.702019   9.176569"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_dictionary.html","id":null,"dir":"Reference","previous_headings":"","what":"X-13 Dictionary — x13_dictionary","title":"X-13 Dictionary — x13_dictionary","text":"X-13 Dictionary","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_dictionary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"X-13 Dictionary — x13_dictionary","text":"","code":"x13_dictionary()"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_dictionary.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"X-13 Dictionary — x13_dictionary","text":"vector containing names available output objects (series, diagnostics, parameters).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_full_dictionary.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — x13_full_dictionary","title":"Title — x13_full_dictionary","text":"Title","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_full_dictionary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — x13_full_dictionary","text":"","code":"x13_full_dictionary()"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":null,"dir":"Reference","previous_headings":"","what":"Revisions History — x13_revisions","title":"Revisions History — x13_revisions","text":"Compute revisions history","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Revisions History — x13_revisions","text":"","code":"x13_revisions(   ts,   spec,   data_ids = NULL,   ts_ids = NULL,   cmp_ids = NULL,   context = NULL )"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Revisions History — x13_revisions","text":"ts time series used estimation. spec specification used. data_ids list list specify statistics export. sub-list must contain two elements: start (first date compute history, format \"YYYY-MM-DD\") id (name statistics, see x13_dictionary()). See example. ts_ids list list specify specific date component whose history studied. sub-list must contain three elements: start (first date compute history, format \"YYYY-MM-DD\"), period (date studied) id (name component, see x13_dictionary()). See example. cmp_ids list list specify component whose history studied. sub-list must contain three elements: start (first date compute history, format \"YYYY-MM-DD\"), end (last date compute history, format \"YYYY-MM-DD\") id (name component, see x13_dictionary()). many series periods start end exported. See example. context context specification.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_revisions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Revisions History — x13_revisions","text":"","code":"s <- rjd3toolkit::ABS$X0.2.09.10.M sa_mod <- x13(s) data_ids <- list(   # Get the coefficient of the trading-day coefficient from 2005-jan   list(start = \"2005-01-01\", id = \"regression.td(1)\"),   # Get the ljung-box statistics on residuals from 2010-jan   list(start = \"2010-01-01\", id = \"residuals.lb\")) ts_ids <- list(   # Get the SA component estimates of 2010-jan from 2010-jan   list(period = \"2010-01-01\", start = \"2010-01-01\", id = \"sa\"),   # Get the irregular component estimates of 2010-jan from 2015-jan   list(period = \"2010-01-01\", start = \"2015-01-01\", id = \"i\")) cmp_ids <- list(   # Get the SA component estimates (full time series) 2010-jan to 2020-jan   list(start = \"2010-01-01\", end = \"2020-01-01\", id = \"sa\"),   # Get the trend component estimates (full time series)  2010-jan to 2020-jan   list(start = \"2010-01-01\", end = \"2020-01-01\", id = \"t\")) rh <- x13_revisions(s, sa_mod$result_spec, data_ids, ts_ids, cmp_ids)"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":null,"dir":"Reference","previous_headings":"","what":"RegARIMA/X-13 Default Specifications — x13_spec","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"Set functions create default specification objects associated X-13ARIMA seasonal adjustment method.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"","code":"regarima_spec(name = c(\"rg4\", \"rg0\", \"rg1\", \"rg2c\", \"rg3\", \"rg5c\"))  x13_spec(name = c(\"rsa4\", \"rsa0\", \"rsa1\", \"rsa2c\", \"rsa3\", \"rsa5c\"))  x11_spec()"},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"name name predefined specification.","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"object class \"JD3_X13_SPEC\" (x13_spec()), \"JD3_REGARIMA_SPEC\" (regarima_spec()) \"JD3_X11_SPEC\" (x11_spec()).","code":""},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"Specification setting sheer X-11 decomposition method (without reg-arima pre-adjustment) supported x11_spec() function appear among possible X13-Arima default specifications Specification setting can restricted reg-arima part regarima_spec() function, without argument regarima_spec() yields RG5c specification setting complete X13-Arima spec, x13_spec() without argument  yields RSA5c specification available predefined 'JDemetra+' model specifications described table :","code":""},{"path":[]},{"path":"https://rjdverse.github.io/rjd3x13/reference/x13_spec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RegARIMA/X-13 Default Specifications — x13_spec","text":"","code":"init_spec <- x11_spec() init_spec <- regarima_spec(\"rg4\") init_spec <- x13_spec(\"rsa5c\")"}]