ensure_realized

Single internal entry point for all Monte Carlo fallback paths.
If <code>x</code> is already an <code>empirical_dist</code>, returns it unchanged.
If <code>x</code> has a <code>.cache</code> environment (e.g. <code>edist</code> objects),
caches the realization so that multiple method calls (e.g. <code>cdf</code> +
<code>density</code>) share the same samples. Sample-size-aware: if the cached
realization has fewer than <code>n</code> samples, re-realizes.

internal

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

ensure_realized function

<dl><dt>x</dt>
<dd>A distribution object.</dd>
<dt>n</dt>
<dd>Number of samples (default: 10000).</dd></dl>

Arguments

Memoized MC fallback materialization. — ensure_realized

<dl>

<dt>x</dt>
<dd>A distribution object.</dd>


<dt>n</dt>
<dd>Number of samples (default: 10000).</dd>

</dl>

ensure_realized: Memoized MC fallback materialization.

Description

Usage

Value

Arguments