autocorr.plot

Plots the autocorrelation function for each variable in each chain in x.

hplot

Provides functions for summarizing and plotting the
output from Markov Chain Monte Carlo (MCMC) simulations, as
well as diagnostic tests of convergence to the equilibrium
distribution of the Markov chain.

Martyn Plummer

coda

Output Analysis and Diagnostics for MCMC

Nicky Best

Kate Cowles

Karen Vines

Deepayan Sarkar

Douglas Bates

Russell Almond

Arni Magnusson

autocorr.plot function

<dl><dt>x</dt>
<dd>A Markov Chain</dd><dt>lag.max</dt>
<dd>Maximum value at which to calculate acf</dd><dt>auto.layout</dt>
<dd>If <code>TRUE</code> then, set up own layout for
plots, otherwise use existing one.</dd><dt>ask</dt>
<dd>If <code>TRUE</code> then prompt user before displaying
 each page of plots. Default is <code><a href="/link/dev.interactive()?package=coda&version=0.19-4.1" data-mini-rdoc="coda::dev.interactive()">dev.interactive()</a></code> in
 R and <code><a href="/link/interactive()?package=coda&version=0.19-4.1" data-mini-rdoc="coda::interactive()">interactive()</a></code> in S-PLUS.</dd><dt>...</dt>
<dd>graphical parameters</dd></dl>

Arguments

Plot autocorrelations for Markov Chains — autocorr.plot

<dl>

<dt>x</dt>
<dd>A Markov Chain</dd>

<dt>lag.max</dt>
<dd>Maximum value at which to calculate acf</dd>

<dt>auto.layout</dt>
<dd>If <code>TRUE</code> then, set up own layout for
plots, otherwise use existing one.</dd>

<dt>ask</dt>
<dd>If <code>TRUE</code> then prompt user before displaying
 each page of plots. Default is <code><a href='https://rdrr.io/r/grDevices/dev.interactive.html'>dev.interactive()</a></code> in
 R and <code><a href='https://rdrr.io/r/base/interactive.html'>interactive()</a></code> in S-PLUS.</dd>

<dt>...</dt>
<dd>graphical parameters</dd>

</dl>

Plot autocorrelations for Markov Chains

autocorr.plot: Plot autocorrelations for Markov Chains

Description

Usage

Arguments

See Also