plotDist

Plots the histogram of MCMC samples.

Fit an array of decision-making tasks with computational models in
a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of
various computational models with a single line of coding
(Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.

Woo-Young Ahn

hBayesDM

Hierarchical Bayesian Modeling of Decision-Making Tasks

Nate Haines

Lei Zhang

Harhim Park

Jaeyeong Yang

Jethro Lee

plotDist function

<dl><dt>sample</dt>
<dd>MCMC samples</dd>
<dt>Title</dt>
<dd>Character value containing the main title for the plot</dd>
<dt>xLab</dt>
<dd>Character value containing the x label</dd>
<dt>yLab</dt>
<dd>Character value containing the y label</dd>
<dt>xLim</dt>
<dd>Vector containing the lower and upper x-bounds of the plot</dd>
<dt>fontSize</dt>
<dd>Size of the font to use for plotting. Defaults to 10</dd>
<dt>binSize</dt>
<dd>Size of the bins for creating the histogram. Defaults to 30</dd>
<dt>...</dt>
<dd>Arguments that can be additionally supplied to geom_histogram</dd></dl>

Arguments

Plots the histogram of MCMC samples. — plotDist

<dl>

<dt>sample</dt>
<dd>MCMC samples</dd>


<dt>Title</dt>
<dd>Character value containing the main title for the plot</dd>


<dt>xLab</dt>
<dd>Character value containing the x label</dd>


<dt>yLab</dt>
<dd>Character value containing the y label</dd>


<dt>xLim</dt>
<dd>Vector containing the lower and upper x-bounds of the plot</dd>


<dt>fontSize</dt>
<dd>Size of the font to use for plotting. Defaults to 10</dd>


<dt>binSize</dt>
<dd>Size of the bins for creating the histogram. Defaults to 30</dd>


<dt>...</dt>
<dd>Arguments that can be additionally supplied to geom_histogram</dd>

</dl>

plotDist: Plots the histogram of MCMC samples.

Description

Usage

Value

Arguments