nparams.mixture

The total number of parameters is the sum of component parameters
plus the number of mixing weights.

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

nparams.mixture function

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

Arguments

Number of parameters for a mixture distribution. — nparams.mixture

<dl>

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

</dl>

nparams.mixture: Number of parameters for a `mixture` distribution.

Description

Usage

Value

Arguments

Examples