sampler.chi_squared

Method for sampling from a <code>chi_squared</code> object.

Provides an algebra over probability distributions enabling
composition, sampling, and automatic simplification to closed forms.
Supports normal, exponential, gamma, Weibull, chi-squared, uniform,
beta, log-normal, Poisson, multivariate normal, empirical, and mixture
distributions with algebraic operators (addition, subtraction,
multiplication, division, power, exp, log, min, max) that automatically
simplify when mathematical identities apply. Includes closed-form MVN
conditioning (Schur complement), affine transformations, mixture
marginals/conditionals (Bayes rule), and limiting distribution builders
(CLT, LLN, delta method). Uses S3 classes for distributions and R6
for support objects.

Alexander Towell

algebraic.dist

Algebra over Probability Distributions

sampler.chi_squared function

<dl><dt>x</dt>
<dd>The <code>chi_squared</code> object to sample from</dd>
<dt>...</dt>
<dd>Additional arguments (not used)</dd></dl>

Arguments

Method for sampling from a chi_squared object. — sampler.chi_squared

<dl>

<dt>x</dt>
<dd>The <code>chi_squared</code> object to sample from</dd>


<dt>...</dt>
<dd>Additional arguments (not used)</dd>

</dl>

sampler.chi_squared: Method for sampling from a `chi_squared` object.

Description

Usage

Value

Arguments

Examples