Bayesian Output Analysis Program (BOA) for MCMC
Autocorrelation Function
Batch Means
Add MCMC Sequence
Concatenate MCMC Sequences
Delete MCMC Sequences
Formulate New Parameter
Gelman and Rubin Convergence Diagnostics
Import MCMC Sequence
Information about MCMC Sequences
Session Lists of MCMC Sequences
Reset MCMC Sequences
Subset MCMC Sequences
Set Support for Parameters
Extract Iterations
Extract Parameters
Geweke Convergence Diagnostics
Geweke Spectral Density Estimation
Heidelberger and Welch Convergence Diagnostics
Highest Probability Density Interval
Import ASCII Data
Import BUGS Data
Import ASCII Data
Start Session
Extract Iteration Numbers
Licensing Information
Load Session
Interactive BOA Menu
Global Parameters
Global Parameters Descriptions
Plot Autocorrelation Function
Plot Brooks and Gelman Multivariate Shrink Factors
Close Graphics Windows
Plot Density Functions
Plot Gelman and Rubin Shrink Factors
Plot Geweke Convergence Diagnostics
Plot Parameter Estimation Histories
Open Graphics Windows
Set Plotting Parameters
Plot Parameters in MCMC Sequences
Add Plot Title
Plot Trace Histories
Extract Parameter Names
Print Autocorrelation Functions
Print Correlation Matrices
Print Gelman and Rubin Convergence Diagnostics
Print Geweke Convergence Diagnostics
Print Heidelberger and Welch Convergence Diagnostics
Print Highest Probability Density Intervals
Print Information about MCMC Sequences
Print Global Parameters' Descriptions and Current Values
Print Raftery and Lewis Convergence Diagnostics
Print Summary Statistics
Quit Session
Raftery and Lewis Convergence Diagnostics
Save Session
Sort by Iteration Numbers
Sort by Parameter Names
Summary Statistics
Transform Variables
Version Information
Column Variances
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.