xtr_ci

Calculates Bayesian credible intervals (CI) using one of the available methods:<ul>
<li><code>"HDI"</code>: highest density interval (see <code>xtr_ci_hdi()</code>),</li>
<li><code>"ETI"</code>: equal tailed intervals (see <code>xtr_ci_eti()</code>).</li>
</ul>

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 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>type</dt>
<dd>A string indicating which type of CI to return.
Currently allows Highest Density Intervals (<code>"HDI"</code>; default) and
Equal-Tailed Intervals (<code>"ETI"</code>).</dd>
<dt>na_rm</dt>
<dd>A flag indicating whether to remove missing values.</dd></dl>

Arguments

Credible Intervals — xtr_ci

<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>type</dt>
<dd>A string indicating which type of CI to return.
Currently allows Highest Density Intervals (<code>"HDI"</code>; default) and
Equal-Tailed Intervals (<code>"ETI"</code>).</dd>


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

</dl>

xtr_ci: Credible Intervals

Description

Usage

Value

Arguments

See Also

Examples