boa.print.gandr

Calls boa.chain.gandr() and displays the Gelman and Rubin convergence 
 diagnostics for the MCMC sequences in the working session list of sequences.

print

A menu-driven program and library of functions for carrying out
convergence diagnostics and statistical and graphical analysis of Markov
chain Monte Carlo sampling output.

Brian Smith

Bayesian Output Analysis Program (BOA) for MCMC

Brian J. Smith

boa.print.gandr function

<dl> <dt>alpha</dt>
<dd>Quantile (1 - alpha / 2) at which to estimate the upper limit of 
 the corrected shrink factor.</dd> <dt>win</dt>
<dd>Proportion of iterations to include in the Brooks, Gelman, and 
 Rubin Statistics.</dd></dl>

Arguments

Author

Print Gelman and Rubin Convergence Diagnostics — boa.print.gandr

<dl>

 <dt>alpha</dt>
<dd>Quantile (1 - alpha / 2) at which to estimate the upper limit of 
 the corrected shrink factor.</dd>

 <dt>win</dt>
<dd>Proportion of iterations to include in the Brooks, Gelman, and 
 Rubin Statistics.</dd>

</dl>

boa.print.gandr: Print Gelman and Rubin Convergence Diagnostics

Description

Usage

Arguments

Author

See Also