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4 changes: 4 additions & 0 deletions docs/2_22/functions-reference/CSR.html
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<h2 number="6.1"><span class="header-section-number">6.1</span> Compressed Row Storage</h2>
<p>Sparse matrices are represented in Stan using compressed row storage
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4 changes: 4 additions & 0 deletions docs/2_22/functions-reference/Phi-function.html
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<h2 number="3.12"><span class="header-section-number">3.12</span> Probability-Related Functions</h2>
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<h2 number="2.2"><span class="header-section-number">2.2</span> Absolute Functions</h2>
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<h2 number="10.2"><span class="header-section-number">10.2</span> Argument Order and the Vertical Bar</h2>
<p>Each probability function has a specific outcome value and a number of
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4 changes: 4 additions & 0 deletions docs/2_22/functions-reference/array-broadcasting.html
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<h2 number="4.3"><span class="header-section-number">4.3</span> Array Broadcasting</h2>
<p>The following operations create arrays by repeating elements to fill
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<h2 number="4.4"><span class="header-section-number">4.4</span> Array Concatenation</h2>
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<h2 number="4.1"><span class="header-section-number">4.1</span> Reductions</h2>
<p>The following operations take arrays as input and produce single
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<h2 number="4.2"><span class="header-section-number">4.2</span> Array Size and Dimension Function</h2>
<p>The size of an array or matrix can be obtained using the <code>dims()</code>
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<h2 number="11.1"><span class="header-section-number">11.1</span> Bernoulli Distribution</h2>
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<h2 number="11.2"><span class="header-section-number">11.2</span> Bernoulli Distribution, Logit Parameterization</h2>
<p>Stan also supplies a direct parameterization in terms of a
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<h2 number="11.3"><span class="header-section-number">11.3</span> Bernoulli-Logit Generalised Linear Model (Logistic Regression)</h2>
<p>Stan also supplies a single primitive for a Generalised Linear Model
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<h2 number="25.1"><span class="header-section-number">25.1</span> Beta</h2>
<p>The beta function, <span class="math inline">\(\text{B}(a, b)\)</span>, computes the normalizing
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<h2 number="12.3"><span class="header-section-number">12.3</span> Beta-Binomial Distribution</h2>
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<h2 number="18.1"><span class="header-section-number">18.1</span> Beta Distribution</h2>
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<h2 number="18.2"><span class="header-section-number">18.2</span> Beta Proportion Distribution</h2>
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<h2 number="3.13"><span class="header-section-number">3.13</span> Combinatorial Functions</h2>
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<h1 number="11"><span class="header-section-number">11</span> Binary Distributions</h1>
<p>Binary probability distributions have support on <span class="math inline">\(\{0,1\}\)</span>, where 1
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<h2 number="12.2"><span class="header-section-number">12.2</span> Binomial Distribution, Logit Parameterization</h2>
<p>Stan also provides a version of the binomial probability mass function
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<h2 number="12.1"><span class="header-section-number">12.1</span> Binomial Distribution</h2>
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<h2 number="2.3"><span class="header-section-number">2.3</span> Bound Functions</h2>
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<h2 number="10.5"><span class="header-section-number">10.5</span> Boundary Conditions</h2>
<p>Many distributions are defined with support or constraints on
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<h1 number="20"><span class="header-section-number">20</span> Bounded Continuous Distributions</h1>
<p>The bounded continuous probabilities have support on a finite interval
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<h1 number="12"><span class="header-section-number">12</span> Bounded Discrete Distributions</h1>
<p>Bounded discrete probability functions have support on <span class="math inline">\(\{ 0, \ldots, N \}\)</span> for some upper bound <span class="math inline">\(N\)</span>.</p>
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<h2 number="3.2"><span class="header-section-number">3.2</span> Mathematical Constants</h2>
<p>Constants are represented as functions with no arguments and must be
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<h1 class="unnumbered" number=""><i style="font-size: 110%; color:#990017;">Built-In Functions</i></h1>

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<h2 number="12.5"><span class="header-section-number">12.5</span> Categorical Distribution</h2>
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<h2 number="15.6"><span class="header-section-number">15.6</span> Cauchy Distribution</h2>
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<h2 number="16.2"><span class="header-section-number">16.2</span> Chi-Square Distribution</h2>
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<h2 number="23.2"><span class="header-section-number">23.2</span> Cholesky LKJ Correlation Distribution</h2>
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<h1 number="19"><span class="header-section-number">19</span> Circular Distributions</h1>
<p>Circular distributions are defined for finite values y in any interval
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<h2 number="3.14"><span class="header-section-number">3.14</span> Composed Functions</h2>
<p>The functions in this section are equivalent in theory to combinations
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<h1 number="8"><span class="header-section-number">8</span> Compound Arithmetic and Assignment</h1>
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