params.mixture

Returns a named numeric vector containing all component parameters
(flattened) followed by the 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

params.mixture function

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

Arguments

Retrieve the parameters of a mixture object. — params.mixture

<dl>

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

</dl>

params.mixture: Retrieve the parameters of a `mixture` object.

Description

Usage

Value

Arguments

Examples