Calculates the effective sample size based on <code>esr()</code>.

Functions and classes to store, manipulate and summarise
Monte Carlo Markov Chain (MCMC) samples. For more information see
Brooks et al. (2011) <isbn:978-1-4200-7941-8>.

Joe Thorley

mcmcr

Manipulate MCMC Samples

Kirill Müller

Nadine Hussein

Ayla Pearson

Poisson Consulting 

ess function

<dl><dt>x</dt>
<dd>An MCMC object.</dd>
<dt>by</dt>
<dd>A string indicating whether to determine by
"term", "parameter" or "all".</dd>
<dt>as_df</dt>
<dd>A flag indicating whether to return the results as a
data frame versus a named list.</dd></dl>

Arguments

P-Value
effective sample size — ess

<dl>

<dt>x</dt>
<dd>An MCMC object.</dd>


<dt>by</dt>
<dd>A string indicating whether to determine by
"term", "parameter" or "all".</dd>


<dt>as_df</dt>
<dd>A flag indicating whether to return the results as a
data frame versus a named list.</dd>

</dl>

ess: P-Value effective sample size

Description

Usage

Arguments

See Also

Examples