weibull_dist

Creates an S3 object representing a Weibull distribution with the given
shape and scale parameters. The Weibull PDF is
$$f(t) = (shape/scale)(t/scale)^{shape-1} \exp(-(t/scale)^{shape})$$
for $t &gt; 0$.

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

weibull_dist function

<dl><dt>shape</dt>
<dd>Positive scalar shape parameter.</dd>
<dt>scale</dt>
<dd>Positive scalar scale parameter.</dd></dl>

Arguments

Construct a Weibull distribution object. — weibull_dist

<dl>

<dt>shape</dt>
<dd>Positive scalar shape parameter.</dd>


<dt>scale</dt>
<dd>Positive scalar scale parameter.</dd>

</dl>

weibull_dist: Construct a Weibull distribution object.

Description

Usage

Value

Arguments

Examples