summary.mcmc

summary.mcmc.list

<code>summary.mcmc</code> produces two sets of summary statistics for
 each variable: 
Mean, standard deviation, naive standard error of the mean
 (ignoring autocorrelation of the chain) and time-series standard
 error based on an estimate of the spectral density at 0.
Quantiles of the sample distribution using the <code>quantiles</code>
 argument.

univar

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

summary.mcmc function

<dl> <dt>object</dt>
<dd>an object of class <code>mcmc</code> or <code>mcmc.list</code></dd> <dt>quantiles</dt>
<dd>a vector of quantiles to evaluate for each variable</dd> <dt>...</dt>
<dd>a list of further arguments</dd></dl>

Arguments

Author

Summary statistics for  Markov Chain Monte Carlo chains — summary.mcmc

<dl>

 <dt>object</dt>
<dd>an object of class <code>mcmc</code> or <code>mcmc.list</code></dd>

 <dt>quantiles</dt>
<dd>a vector of quantiles to evaluate for each variable</dd>

 <dt>...</dt>
<dd>a list of further arguments</dd>

</dl>

Summary statistics for  Markov Chain Monte Carlo chains

Output analysis and diagnostics for Markov Chain Monte
  Carlo simulations. 

summary.mcmc: Summary statistics for Markov Chain Monte Carlo chains

Description

Usage

Arguments

Author

See Also