pvalue

A Bayesian p-value (p) is here defined in terms of the quantile-based
(1-p) * 100% credible interval (CRI) that
just includes a threshold (Kery and Schaub 2011).
By default a p-value of 0.05 indicates that the 95% CRI just includes 0.

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 

pvalue function

<dl><dt>x</dt>
<dd>A numeric vector of MCMC values.</dd>
<dt>threshold</dt>
<dd>A number of the threshold value.</dd>
<dt>na_rm</dt>
<dd>A flag specifying whether to remove missing values.</dd></dl>

Arguments

Bayesian P-Value — pvalue

<dl>

<dt>x</dt>
<dd>A numeric vector of MCMC values.</dd>


<dt>threshold</dt>
<dd>A number of the threshold value.</dd>


<dt>na_rm</dt>
<dd>A flag specifying whether to remove missing values.</dd>

</dl>

pvalue: Bayesian P-Value

Description

Usage

Value

Arguments

References

See Also

Examples