sup.normal

Method for obtaining the support of a <code>normal</code> object, where the support
is defined as values that have non-zero probability density.

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.normal function

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

Arguments

Method for obtaining the support of a normal object, where the support
is defined as values that have non-zero probability density. — sup.normal

<dl>

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

</dl>

sup.normal: Method for obtaining the support of a `normal` object, where the support is defined as values that have non-zero probability density.

Description

Usage

Value

Arguments

Examples