MCMCpack (1.4-2)

Markov Chain Monte Carlo (MCMC) Package.

https://CRAN.R-project.org/package=MCMCpack
http://cran.r-project.org/web/packages/MCMCpack

Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return coda mcmc objects that can then be summarized using the coda package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.

Maintainer: Jong Hee Park
Author(s): Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb]

License: GPL-3

Uses: coda, lattice, MASS, mcmc, quantreg
Reverse depends: adaptsmoFMRI, agRee, anominate, bacr, BayesCR, BayesESS, bayespref, Bergm, CARBayes, CoinMinD, cudia, depmixS4, DMRMark, driftsel, glmdm, GLMMarp, hierarchicalDS, HMP, HSROC, HWEBayes, hzar, manet, MBSP, mfr, milonga, miscF, NetworkChange, NHMM, ocomposition, optDesignSlopeInt, pCalibrate, PhViD, R2GUESS, robustsae, RSGHB, RxCEcolInf, SimpleTable, StVAR, twl, uskewFactors
Reverse suggests: BayesDA, bayesGDS, boolean, bridgesampling, DOBAD, dyn, frontier, glmmTMB, greta, harvestr, IPMpack, lsmeans, MultiBD, PLMIX, pscl, Rlda, SciencePo, SciencesPo, Zelig
Reverse enhances: emmeans

Released 11 months ago.