Website Update for v2.0

docs/EHupdates.rst

@@ -13,6 +13,38 @@ Latest Updates
 
 ..............................................................
 
+April 2024
+############
+
+Version 2.0 is out now!
+=======================
+
+| Since the introduction of multivariate entropy methods over a decade ago, the utilization of multivariate and multivariate multiscale entropy methods has seen a notable increase in recent years. 
+| Systems comprising multiple dynamically related components are ubiquitous in many research fields and multivariate entropies provide a powerful method for estimating the complexity of such systems.
+| With EntropyHub v2.0, you can now apply many multivariate and multivariate multiscale methods with the ease, robust functionality and extensive documentation for which EntropyHub is acclaimed.
+
+    **+ New multivariate methods**
+        | Five new multivariate entropy functions incorporating several method-specific variations
+        | + `Multivariate Sample Entropy <https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.061918>`_ 
+        | + `Multivariate Fuzzy Entropy <https://www.mdpi.com/1099-4300/19/1/2>`_ [++ many fuzzy functions]
+        | + `Multivariate Dispersion Entropy <https://www.mdpi.com/1099-4300/21/9/913>`_ [++ many symbolic sequence transforms]
+        | + `Multivariate Cosine Similarity Entropy <https://www.mdpi.com/1099-4300/24/9/1287>`_
+        | + Multivariate Permutation Entropy  [++ *amplitude-aware*, *edge*, *phase*, *weighted* and *modified* variants]
+
+    **+ New multivariate multiscale methods**
+        | Two new multivariate multiscale entropy functions
+        | + `Multivariate Multiscale Entropy <https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.061918>`_ [++ coarse, modified and generalized graining procedures]
+        | + `Composite and Refined-composite Multivariate Multiscale Entropy <https://link.springer.com/article/10.1007/s11517-017-1647-5>`_ 
+
+    **+ Extra signal processing tools**
+        | + **WindowData()** is a new function that allows users to segment data (univariate or multivariate time series) into windows with/without overlapping samples!
+        | This allows users to calculate entropy on subsequences of their data to perform analyses with greater time resolution.
+
+| Other little fixes...
+   
+    **Docs edits**
+        | - Examples in the www.EntropyHub.xyz documentation were updated to match the latest package syntax.
+
 
 March 2024
 ############
@@ -144,10 +176,10 @@ December 2021
 
 **Version Update - EntropyHub v0.2**
 
-EntropyHub v0.2 includes two new bidimensional entropy methods:      
+    **+ EntropyHub v0.2 includes two new bidimensional entropy methods:**          
 
-| * `Bidimensional permutation entropy (PermEn2D) <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040689>`_         
-| * `Bidimensional Espinosa entropy (EspEn2D) <https://www.mdpi.com/1099-4300/23/10/1261>`_
+    | + `Bidimensional permutation entropy (PermEn2D) <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040689>`_         
+    | + `Bidimensional Espinosa entropy (EspEn2D) <https://www.mdpi.com/1099-4300/23/10/1261>`_
 
 ..............................................................
 

docs/_build/html/.buildinfo

@@ -1,4 +1,4 @@
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 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: a08dde90a3c13e8b0243414d25c4c8a4
+config: 4c42f4feeefbbc77a5eae3d957aaf51a
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docs/_build/html/EHupdates.html

@@ -4,7 +4,7 @@
   <meta charset="utf-8" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>Latest Updates &mdash; EntropyHub 1.0 documentation</title>
+  <title>Latest Updates &mdash; EntropyHub 2.0 documentation</title>
       <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
       <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
       <link rel="stylesheet" href="_static/custom.css" type="text/css" />
@@ -63,13 +63,22 @@
 <li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matCross.html"> Cross-Entropies</a><ul class="simple">
 </ul>
 </li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matMultivariate.html"> Multivariate Entropies</a><ul class="simple">
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matBidimensional.html"> Bidimensional (2D) Entropies</a><ul class="simple">
+</ul>
+</li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matMultiscale.html"> Multiscale Entropies</a><ul class="simple">
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matMultiscaleCross.html"> Multiscale Cross-Entropies</a><ul class="simple">
 </ul>
 </li>
-<li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matBidimensional.html"> Bidimensional (2D) Entropies</a><ul class="simple">
+<li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matMultivariateMultiscale.html"> Multivariate Multiscale Entropies</a><ul class="simple">
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Functions/matOther.html"> Other Functions</a><ul class="simple">
 </ul>
 </li>
 </ul>
@@ -81,10 +90,13 @@
 <li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex4.html"> Ex. 4 - Cross-Distribution Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex5.html"> Ex. 5 - Multiscale Entropy Object</a></li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex6.html"> Ex. 6 - Multiscale [Increment] Entropy</a></li>
-<li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex7.html"> Ex. 7 - Refined Multisclae [Sample] Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex7.html"> Ex. 7 - Refined Multiscale [Sample] Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex8.html"> Ex. 8 - Composite Multiscale Cross-[Approximate] Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex9.html"> Ex. 9 - Hierarchical Multiscale corrected Cross-[Conditional] Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex10.html"> Ex. 10 - Bidimensional Fuzzy Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex11.html"> Ex. 11 - Multivariate Dispersion Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex12.html"> Ex. 12 - Refined-composite Multivariate Multiscale Fuzzy Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="matlab/Examples/Ex13.html"> Ex. 13 - Windowing data with WindowData()</a></li>
 </ul>
 </li>
 </ul>
@@ -97,13 +109,22 @@
 <li class="toctree-l3"><a class="reference internal" href="python/Functions/Cross.html"> Cross-Entropies</a><ul class="simple">
 </ul>
 </li>
+<li class="toctree-l3"><a class="reference internal" href="python/Functions/Multivariate.html"> Multivariate Entropies</a><ul class="simple">
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="python/Functions/Bidimensional.html"> Bidimensional (2D) Entropies</a><ul class="simple">
+</ul>
+</li>
 <li class="toctree-l3"><a class="reference internal" href="python/Functions/Multiscale.html"> Multiscale Entropies</a><ul class="simple">
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="python/Functions/MultiscaleCross.html"> Multiscale Cross-Entropies</a><ul class="simple">
 </ul>
 </li>
-<li class="toctree-l3"><a class="reference internal" href="python/Functions/Bidimensional.html"> Bidimensional (2D) Entropies</a><ul class="simple">
+<li class="toctree-l3"><a class="reference internal" href="python/Functions/MultivariateMultiscale.html"> Multivariate Multiscale Entropies</a><ul class="simple">
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="python/Functions/Other.html"> Other Functions</a><ul class="simple">
 </ul>
 </li>
 </ul>
@@ -115,10 +136,13 @@
 <li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex4.html"> Ex. 4 - Cross-Distribution Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex5.html"> Ex. 5 - Multiscale Entropy Object</a></li>
 <li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex6.html"> Ex. 6 - Multiscale [Increment] Entropy</a></li>
-<li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex7.html"> Ex. 7 - Refined Multisclae [Sample] Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex7.html"> Ex. 7 - Refined Multiscale [Sample] Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex8.html"> Ex. 8 - Composite Multiscale Cross-[Approximate] Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex9.html"> Ex. 9 - Hierarchical Multiscale corrected Cross-[Conditional] Entropy</a></li>
 <li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex10.html"> Ex. 10 - Bidimensional Fuzzy Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex11.html"> Ex. 11 - Multivariate Dispersion Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex12.html"> Ex. 12 - [Generalized] Refined-composite Multivariate Multiscale Fuzzy Entropy</a></li>
+<li class="toctree-l3"><a class="reference internal" href="python/Examples/Ex13.html"> Ex. 13 - Windowing data with WindowData()</a></li>
 </ul>
 </li>
 </ul>
@@ -161,6 +185,52 @@ <h1>Latest Updates<a class="headerlink" href="#latest-updates" title="Permalink
 <div class="toctree-wrapper compound">
 </div>
 <hr class="docutils" />
+<section id="april-2024">
+<h2>April 2024<a class="headerlink" href="#april-2024" title="Permalink to this heading"></a></h2>
+<section id="version-2-0-is-out-now">
+<h3>Version 2.0 is out now!<a class="headerlink" href="#version-2-0-is-out-now" title="Permalink to this heading"></a></h3>
+<div class="line-block">
+<div class="line">Since the introduction of multivariate entropy methods over a decade ago, the utilization of multivariate and multivariate multiscale entropy methods has seen a notable increase in recent years.</div>
+<div class="line">Systems comprising multiple dynamically related components are ubiquitous in many research fields and multivariate entropies provide a powerful method for estimating the complexity of such systems.</div>
+<div class="line">With EntropyHub v2.0, you can now apply many multivariate and multivariate multiscale methods with the ease, robust functionality and extensive documentation for which EntropyHub is acclaimed.</div>
+</div>
+<blockquote>
+<div><dl>
+<dt><strong>+ New multivariate methods</strong></dt><dd><div class="line-block">
+<div class="line">Five new multivariate entropy functions incorporating several method-specific variations</div>
+<div class="line">+ <a class="reference external" href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.061918">Multivariate Sample Entropy</a></div>
+<div class="line">+ <a class="reference external" href="https://www.mdpi.com/1099-4300/19/1/2">Multivariate Fuzzy Entropy</a> [++ many fuzzy functions]</div>
+<div class="line">+ <a class="reference external" href="https://www.mdpi.com/1099-4300/21/9/913">Multivariate Dispersion Entropy</a> [++ many symbolic sequence transforms]</div>
+<div class="line">+ <a class="reference external" href="https://www.mdpi.com/1099-4300/24/9/1287">Multivariate Cosine Similarity Entropy</a></div>
+<div class="line">+ Multivariate Permutation Entropy  [++ <em>amplitude-aware</em>, <em>edge</em>, <em>phase</em>, <em>weighted</em> and <em>modified</em> variants]</div>
+</div>
+</dd>
+<dt><strong>+ New multivariate multiscale methods</strong></dt><dd><div class="line-block">
+<div class="line">Two new multivariate multiscale entropy functions</div>
+<div class="line">+ <a class="reference external" href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.061918">Multivariate Multiscale Entropy</a> [++ coarse, modified and generalized graining procedures]</div>
+<div class="line">+ <a class="reference external" href="https://link.springer.com/article/10.1007/s11517-017-1647-5">Composite and Refined-composite Multivariate Multiscale Entropy</a></div>
+</div>
+</dd>
+<dt><strong>+ Extra signal processing tools</strong></dt><dd><div class="line-block">
+<div class="line">+ <strong>WindowData()</strong> is a new function that allows users to segment data (univariate or multivariate time series) into windows with/without overlapping samples!</div>
+<div class="line">This allows users to calculate entropy on subsequences of their data to perform analyses with greater time resolution.</div>
+</div>
+</dd>
+</dl>
+</div></blockquote>
+<div class="line-block">
+<div class="line">Other little fixes…</div>
+</div>
+<blockquote>
+<div><dl>
+<dt><strong>Docs edits</strong></dt><dd><div class="line-block">
+<div class="line">- Examples in the www.EntropyHub.xyz documentation were updated to match the latest package syntax.</div>
+</div>
+</dd>
+</dl>
+</div></blockquote>
+</section>
+</section>
 <section id="march-2024">
 <h2>March 2024<a class="headerlink" href="#march-2024" title="Permalink to this heading"></a></h2>
 <section id="version-1-0-is-here">
@@ -288,11 +358,13 @@ <h2>February 2022<a class="headerlink" href="#february-2022" title="Permalink to
 <section id="december-2021">
 <h2>December 2021<a class="headerlink" href="#december-2021" title="Permalink to this heading"></a></h2>
 <p><strong>Version Update - EntropyHub v0.2</strong></p>
-<p>EntropyHub v0.2 includes two new bidimensional entropy methods:</p>
+<blockquote>
+<div><p><strong>+ EntropyHub v0.2 includes two new bidimensional entropy methods:</strong></p>
 <div class="line-block">
-<div class="line">* <a class="reference external" href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040689">Bidimensional permutation entropy (PermEn2D)</a></div>
-<div class="line">* <a class="reference external" href="https://www.mdpi.com/1099-4300/23/10/1261">Bidimensional Espinosa entropy (EspEn2D)</a></div>
+<div class="line">+ <a class="reference external" href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040689">Bidimensional permutation entropy (PermEn2D)</a></div>
+<div class="line">+ <a class="reference external" href="https://www.mdpi.com/1099-4300/23/10/1261">Bidimensional Espinosa entropy (EspEn2D)</a></div>
 </div>
+</div></blockquote>
 </section>
 <hr class="docutils" />
 <section id="november-2021">