pextreme

Calculates the probability that a cumulative distribution function
probability is at least that extreme.
<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=extras&version=0.7.3" alt="[Deprecated]"></a>

Functions to 'numericise' 'R' objects (coerce to numeric
objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and
calculate deviance residuals as well as 'R' translations of some
'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs
Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.

Nicole Hill

extras

Helper Functions for Bayesian Analyses

Joe Thorley

Kirill Müller

Nadine Hussein

Poisson Consulting 

pextreme function

<dl><dt>x</dt>
<dd>A numeric vector of values between 0 and 1.</dd></dl>

Arguments

Calculates the probability that a cumulative distribution function
probability is at least that extreme.
<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a>

Extreme Probability — pextreme

<dl>

<dt>x</dt>
<dd>A numeric vector of values between 0 and 1.</dd>

</dl>

pextreme: Extreme Probability

Description

Usage

Value

Arguments

See Also

Examples