update website docs to 0.15.7

docs/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 82bbd6a1fb4f9f313b400e0081095ab3
+config: 1a7003f9672146186db44e6884175692
 tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/_modules/catsim/cat.html

@@ -32,10 +32,10 @@
 
 
       <script type="text/javascript" id="documentation_options" data-url_root="../../" src="../../_static/documentation_options.js"></script>
+        <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
         <script src="../../_static/jquery.js"></script>
         <script src="../../_static/underscore.js"></script>
         <script src="../../_static/doctools.js"></script>
-        <script async="async" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS-MML_HTMLorMML"></script>
 
     <script type="text/javascript" src="../../_static/js/theme.js"></script>
 
@@ -68,7 +68,7 @@
 
 
               <div class="version">
-                0.15.6
+                0.15.7
               </div>
 
 
@@ -176,9 +176,9 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
 <span></span><span class="sd">&quot;&quot;&quot;Functions used specifically during the application/simulation of computerized adaptive tests.&quot;&quot;&quot;</span>
 
 <span class="kn">import</span> <span class="nn">operator</span>
+<span class="kn">import</span> <span class="nn">random</span>
 
 <span class="kn">import</span> <span class="nn">numpy</span>
-<span class="kn">import</span> <span class="nn">random</span>
 
 <span class="kn">from</span> <span class="nn">catsim</span> <span class="kn">import</span> <span class="n">irt</span>
 
@@ -207,9 +207,9 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">theta</span> <span class="o">+</span> <span class="p">((</span><span class="nb">max</span><span class="p">(</span><span class="n">b</span><span class="p">)</span> <span class="o">-</span> <span class="n">theta</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="k">if</span> <span class="n">correct</span> <span class="k">else</span> <span class="n">theta</span> <span class="o">-</span> <span class="p">((</span><span class="n">theta</span> <span class="o">-</span> <span class="nb">min</span><span class="p">(</span><span class="n">b</span><span class="p">))</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="bias"><a class="viewcode-back" href="../../cat.html#catsim.cat.bias">[docs]</a><span class="k">def</span> <span class="nf">bias</span><span class="p">(</span><span class="n">actual</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">predicted</span><span class="p">:</span> <span class="nb">list</span><span class="p">):</span>
+<div class="viewcode-block" id="bias"><a class="viewcode-back" href="../../cat.html#catsim.cat.bias">[docs]</a><span class="k">def</span> <span class="nf">bias</span><span class="p">(</span><span class="n">actual</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">predicted</span><span class="p">:</span> <span class="nb">list</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span>
     <span class="sd">&quot;&quot;&quot;Calculates the test bias, an evaluation criterion for computerized adaptive test methodolgies [Chang2001]_.</span>
-<span class="sd">    The value is calculated by:</span>
+<span class="sd">    The value is computed as:</span>
 
 <span class="sd">    .. math:: Bias = \\frac{\\sum_{i=1}^{N} (\\hat{\\theta}_i - \\theta_{i})}{N}</span>
 
@@ -222,13 +222,13 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">actual</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">predicted</span><span class="p">):</span>
         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">&#39;actual and predicted vectors need to be the same size&#39;</span><span class="p">)</span>
-    <span class="k">return</span> <span class="n">numpy</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">sub</span><span class="p">,</span> <span class="n">predicted</span><span class="p">,</span> <span class="n">actual</span><span class="p">)))</span></div>
+    <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">sub</span><span class="p">,</span> <span class="n">predicted</span><span class="p">,</span> <span class="n">actual</span><span class="p">))))</span></div>
 
 
-<div class="viewcode-block" id="mse"><a class="viewcode-back" href="../../cat.html#catsim.cat.mse">[docs]</a><span class="k">def</span> <span class="nf">mse</span><span class="p">(</span><span class="n">actual</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">predicted</span><span class="p">:</span> <span class="nb">list</span><span class="p">):</span>
+<div class="viewcode-block" id="mse"><a class="viewcode-back" href="../../cat.html#catsim.cat.mse">[docs]</a><span class="k">def</span> <span class="nf">mse</span><span class="p">(</span><span class="n">actual</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">predicted</span><span class="p">:</span> <span class="nb">list</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span>
     <span class="sd">&quot;&quot;&quot;Mean squared error, a value used when measuring the precision</span>
 <span class="sd">    with which a computerized adaptive test estimates examinees proficiencies [Chang2001]_.</span>
-<span class="sd">    The value is calculated by:</span>
+<span class="sd">    The value is computed as:</span>
 
 <span class="sd">    .. math:: MSE = \\frac{\\sum_{i=1}^{N} (\\hat{\\theta}_i - \\theta_{i})^2}{N}</span>
 
@@ -241,13 +241,13 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">actual</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">predicted</span><span class="p">):</span>
         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">&#39;actual and predicted vectors need to be the same size&#39;</span><span class="p">)</span>
-    <span class="k">return</span> <span class="n">numpy</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">x</span> <span class="o">*</span> <span class="n">x</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">sub</span><span class="p">,</span> <span class="n">predicted</span><span class="p">,</span> <span class="n">actual</span><span class="p">))])</span></div>
+    <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">x</span> <span class="o">*</span> <span class="n">x</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">sub</span><span class="p">,</span> <span class="n">predicted</span><span class="p">,</span> <span class="n">actual</span><span class="p">))]))</span></div>
 
 
-<div class="viewcode-block" id="rmse"><a class="viewcode-back" href="../../cat.html#catsim.cat.rmse">[docs]</a><span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span><span class="n">actual</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">predicted</span><span class="p">:</span> <span class="nb">list</span><span class="p">):</span>
+<div class="viewcode-block" id="rmse"><a class="viewcode-back" href="../../cat.html#catsim.cat.rmse">[docs]</a><span class="k">def</span> <span class="nf">rmse</span><span class="p">(</span><span class="n">actual</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">predicted</span><span class="p">:</span> <span class="nb">list</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span>
     <span class="sd">&quot;&quot;&quot;Root mean squared error, a common value used when measuring the precision</span>
 <span class="sd">    with which a computerized adaptive test estimates examinees proficiencies [Bar10]_.</span>
-<span class="sd">    The value is calculated by:</span>
+<span class="sd">    The value is computed as:</span>
 
 <span class="sd">    .. math:: RMSE = \\sqrt{\\frac{\\sum_{i=1}^{N} (\\hat{\\theta}_i - \\theta_{i})^2}{N}}</span>
 
@@ -286,7 +286,7 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">t</span></div>
 
 
-<div class="viewcode-block" id="generate_item_bank"><a class="viewcode-back" href="../../cat.html#catsim.cat.generate_item_bank">[docs]</a><span class="k">def</span> <span class="nf">generate_item_bank</span><span class="p">(</span><span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">itemtype</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;4PL&#39;</span><span class="p">,</span> <span class="n">corr</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">):</span>
+<div class="viewcode-block" id="generate_item_bank"><a class="viewcode-back" href="../../cat.html#catsim.cat.generate_item_bank">[docs]</a><span class="k">def</span> <span class="nf">generate_item_bank</span><span class="p">(</span><span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">itemtype</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;4PL&#39;</span><span class="p">,</span> <span class="n">corr</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">numpy</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
     <span class="sd">&quot;&quot;&quot;Generate a synthetic item bank whose parameters approximately follow</span>
 <span class="sd">    real-world parameters, as proposed by [Bar10]_.</span>
 
@@ -348,7 +348,7 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">irt</span><span class="o">.</span><span class="n">normalize_item_bank</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">,</span> <span class="n">d</span><span class="p">])</span><span class="o">.</span><span class="n">T</span><span class="p">)</span></div>
 
 
-<span class="k">def</span> <span class="nf">random_response_vector</span><span class="p">(</span><span class="n">size</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">random_response_vector</span><span class="p">(</span><span class="n">size</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">list</span><span class="p">:</span>
     <span class="k">return</span> <span class="p">[</span><span class="nb">bool</span><span class="p">(</span><span class="n">random</span><span class="o">.</span><span class="n">getrandbits</span><span class="p">(</span><span class="mi">1</span><span class="p">))</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">size</span><span class="p">)]</span>
 
 
@@ -367,7 +367,7 @@ <h1>Source code for catsim.cat</h1><div class="highlight"><pre>
 
   <div role="contentinfo">
     <p>
-        &#169; Copyright 2020, Douglas De Rizzo Meneghetti.
+        &#169; Copyright 2021, Douglas De Rizzo Meneghetti.
 
     </p>
   </div>