ggmcmc: Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

ggmcmc is a tool for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.

Version: 0.5.1
Depends: plyr, reshape2, ggplot2
Suggests: foreach, rjags, coda, rstan
Published: 2013-10-03
Author: Xavier Fernández i Marín
Maintainer: Xavier Fernández i Marín <xavier.fim at>
License: GPL-2
NeedsCompilation: no
Citation: ggmcmc citation info
Materials: README NEWS
In views: Bayesian
CRAN checks: ggmcmc results


Reference manual: ggmcmc.pdf
Package source: ggmcmc_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: ggmcmc_0.5.1.tgz, r-oldrel: ggmcmc_0.5.1.tgz
OS X Mavericks binaries: r-release: ggmcmc_0.5.1.tgz
Old sources: ggmcmc archive

Reverse dependencies:

Reverse suggests: ltbayes, morse