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: | 1.4.1 |
Depends: | R (≥ 3.5), dplyr (≥ 0.5.0), tidyr (≥ 0.5.1), ggplot2 |
Imports: | GGally (≥ 1.1.0) |
Suggests: | coda, rstan (≥ 2.10.1), nimble, knitr, rmarkdown, ggthemes, gridExtra, Cairo, extrafont |
Published: | 2020-04-02 |
Author: | Xavier Fernández i Marín [aut, cre] |
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 |
Reference manual: | ggmcmc.pdf |
Vignettes: |
Using the ggmcmc package ggmcmc: Analysis of MCMC Samples and Bayesian Inference |
Package source: | ggmcmc_1.4.1.tar.gz |
Windows binaries: | r-devel: ggmcmc_1.4.1.zip, r-release: ggmcmc_1.4.1.zip, r-oldrel: ggmcmc_1.4.1.zip |
macOS binaries: | r-release: ggmcmc_1.4.1.tgz, r-oldrel: ggmcmc_1.4.1.tgz |
Old sources: | ggmcmc archive |
Reverse imports: | BayesPostEst, dalmatian, mfa, missingHE, MixSIAR, PLMIX |
Reverse suggests: | airGR, BayesianFROC, crmPack, ltbayes, mrbayes |
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