inv_cdf

Generic method for obtaining the quantile (inverse cdf) of an object.

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

inv_cdf function

<dl><dt>x</dt>
<dd>The object to obtain the quantile of.</dd>
<dt>...</dt>
<dd>Additional arguments to pass.</dd></dl>

Arguments

Generic method for obtaining the quantile (inverse cdf) of an object. — inv_cdf

<dl>

<dt>x</dt>
<dd>The object to obtain the quantile of.</dd>


<dt>...</dt>
<dd>Additional arguments to pass.</dd>

</dl>

inv_cdf: Generic method for obtaining the quantile (inverse cdf) of an object.

Description

Usage

Value

Arguments

Examples