xtr_ci_eti

Calculates Bayesian credible intervals using the equal-tailed interval (ETI),
i.e., the CI such that the left and right tails outside the CI have the same
coverage.

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

Stefano Mezzini

Poisson Consulting 

xtr_ci_eti function

<dl><dt>x</dt>
<dd>A numeric vector of MCMC samples.</dd>
<dt>level</dt>
<dd>A number &gt; 0 and &lt;= 1 specifying the probability coverage of the
interval.</dd>
<dt>...</dt>
<dd>Currently unused.</dd>
<dt>na_rm</dt>
<dd>A flag indicating whether to remove missing values.</dd></dl>

Arguments

Equal-Tailed Interval — xtr_ci_eti

<dl>

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


<dt>level</dt>
<dd>A number &gt; 0 and &lt;= 1 specifying the probability coverage of the
interval.</dd>


<dt>...</dt>
<dd>Currently unused.</dd>


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

</dl>

xtr_ci_eti: Equal-Tailed Interval

Description

Usage

Value

Arguments

Details

See Also

Examples