surv

Generic method for obtaining the survival function 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

surv function

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

Arguments

Generic method for obtaining the survival function of an object. — surv

<dl>

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


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

</dl>

surv: Generic method for obtaining the survival function of an object.

Description

Usage

Value

Arguments

Examples