iseffective

The function tests whether we have drawn enough samples.

Hierarchical Bayesian models. The package provides tools to fit two response time models, using the population-based Markov Chain Monte Carlo.

Yi-Shin Lin

ggdmc

Cognitive Models

Andrew Heathcote

iseffective function

<dl><dt>x</dt>
<dd>posterior samples</dd>
<dt>minN</dt>
<dd>specify the size of minimal effective samples</dd>
<dt>nfun</dt>
<dd>specify to use the <code>mean</code> or <code>median</code> function to
calculate effective samples</dd>
<dt>verbose</dt>
<dd>print more information</dd></dl>

Arguments

Model checking functions — iseffective

<dl>

<dt>x</dt>
<dd>posterior samples</dd>


<dt>minN</dt>
<dd>specify the size of minimal effective samples</dd>


<dt>nfun</dt>
<dd>specify to use the <code>mean</code> or <code>median</code> function to
calculate effective samples</dd>


<dt>verbose</dt>
<dd>print more information</dd>

</dl>

iseffective: Model checking functions

Description

Usage

Arguments