ggmcmc (1.4.1)

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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.

Maintainer: Xavier Fernández i Marín
Author(s): Xavier Fernndez i Marn [aut, cre]

License: GPL-2

Uses: dplyr, GGally, ggplot2, tidyr, Cairo, coda, gridExtra, knitr, extrafont, ggthemes, rmarkdown, rstan, nimble
Reverse suggests: airGR, BayesianFROC, crmPack, ltbayes, mrbayes, rase

Released 2 months ago.

17 previous versions



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Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, R2WinBUGS, Runuran, arm, bayesm, bayesmix, bnlearn, boa, bqtl(20 best matches, based on common tags.)

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Visit ggmcmc on R Graphical Manual.