sextreme

Calculates the surprisal (in bits) 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 

sextreme function

<dl><dt>x</dt>
<dd>A numeric vector of values between 0 and 1.</dd>
<dt>directional</dt>
<dd>A flag specifying whether probabilities less than 0.5
should be returned as negative values.</dd></dl>

Arguments

Calculates the surprisal (in bits) 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 Surprisal — sextreme

<dl>

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


<dt>directional</dt>
<dd>A flag specifying whether probabilities less than 0.5
should be returned as negative values.</dd>

</dl>

sextreme: Extreme Surprisal

Description

Usage

Value

Arguments

See Also

Examples