The returned value should have the following operations:<ul>
<li><code>min</code>: a vector, the minimum value of the support for each component.</li>
<li><code>max</code>: a vector, the maximum value of the support for each component.</li>
<li><code>call</code>: a predicate function, which returns TRUE if the value is in
the support, and FALSE otherwise.</li>
<li><code>sample</code>: a function, which returns a sample from the support. Note that
the returned value is not guaranteed to be in the support of <code>x</code>. You may need
to call <code>call</code> to check.</li>
</ul>

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

sup function

<dl><dt>x</dt>
<dd>The object to obtain the support of.</dd></dl>

Arguments

Generic method for retrieving the support of a (dist) object x. — sup

<dl>

<dt>x</dt>
<dd>The object to obtain the support of.</dd>

</dl>

sup: Generic method for retrieving the support of a (dist) object `x`.

Description

Usage

Value

Arguments

Examples