is_empirical_dist

Function to determine whether an object <code>x</code> is an <code>empirical_dist</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

is_empirical_dist function

<dl><dt>x</dt>
<dd>The object to test</dd></dl>

Arguments

Function to determine whether an object x is an empirical_dist object. — is_empirical_dist

<dl>

<dt>x</dt>
<dd>The object to test</dd>

</dl>

is_empirical_dist: Function to determine whether an object `x` is an `empirical_dist` object.

Description

Usage

Value

Arguments

Examples