dim.mixture

Returns the dimension of the first component (all components are
assumed to have the same dimension).

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

dim.mixture function

<dl><dt>x</dt>
<dd>A <code>mixture</code> object.</dd></dl>

Arguments

Dimension of a mixture distribution. — dim.mixture

<dl>

<dt>x</dt>
<dd>A <code>mixture</code> object.</dd>

</dl>

dim.mixture: Dimension of a mixture distribution.

Description

Usage

Value

Arguments

Examples