ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Tools 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: 1.0
Depends: dplyr (≥ 0.4.3), tidyr (≥ 0.3.1), ggplot2
Imports: GGally (≥ 0.5.0)
Suggests: coda, knitr, rmarkdown, ggthemes, gridExtra, Cairo, extrafont
Published: 2016-05-12
Author: Xavier Fernández i Marín
Maintainer: Xavier Fernández i Marín <xavier.fim at gmail.com>
BugReports: https://github.com/xfim/ggmcmc/issues
License: GPL-2
URL: http://xavier-fim.net/packages/ggmcmc, https://github.com/xfim/ggmcmc
NeedsCompilation: no
Citation: ggmcmc citation info
Materials: README NEWS
In views: Bayesian
CRAN checks: ggmcmc results

Downloads:

Reference manual: ggmcmc.pdf
Vignettes: Using the ggmcmc package
ggmcmc: Analysis of MCMC Samples and Bayesian Inference
Package source: ggmcmc_1.0.tar.gz
Windows binaries: r-devel: ggmcmc_1.0.zip, r-release: ggmcmc_1.0.zip, r-oldrel: ggmcmc_1.0.zip
OS X Mavericks binaries: r-release: ggmcmc_1.0.tgz, r-oldrel: ggmcmc_1.0.tgz
Old sources: ggmcmc archive

Reverse dependencies:

Reverse imports: MixSIAR
Reverse suggests: crmPack, ltbayes, rase