plot.mBCV_obj

draw a histogram and density curve of the results.

Provides methods for selecting the optimal bandwidth in kernel density estimation for dependent samples, such as those generated by Markov chain Monte Carlo (MCMC). Implements a modified biased cross-validation (mBCV) approach that accounts for sample dependence, improving the accuracy of estimated density functions.

Juhee Lee

KDEmcmc

Kernel Density Estimation with a Markov Chain Monte Carlo Sample

Hang J. Kim

Young-Min Kim

plot.mBCV_obj function

<dl> <dt>x</dt>
<dd><code>mBCV_obj</code> object.</dd> <dt>main</dt>
<dd>title of plot.</dd> <dt>xlab</dt>
<dd>title for the x axis.</dd> <dt>...</dt>
<dd>arguments to be paseed to methods.</dd></dl>

Arguments

Plot Kernel Density Result from mBCV_obj — plot.mBCV_obj

<dl>

 <dt>x</dt>
<dd><code>mBCV_obj</code> object.</dd>

 <dt>main</dt>
<dd>title of plot.</dd>

 <dt>xlab</dt>
<dd>title for the x axis.</dd>

 <dt>...</dt>
<dd>arguments to be paseed to methods.</dd>

</dl>

plot.mBCV_obj: Plot Kernel Density Result from `mBCV_obj`

Description

Usage

Value

Arguments