MCMCpack (1.0-9)

Markov chain Monte Carlo (MCMC) Package.

http://mcmcpack.wustl.edu
http://cran.r-project.org/web/packages/MCMCpack

This package 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 1.0.2. All models return coda mcmc objects that can then be summarized using the coda package. MCMCpack also contains some useful utility functions, including some additional density functions and pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization.

Maintainer: Andrew D. Martin
Author(s): Andrew D. Martin <admartin@wustl.edu>, Kevin M. Quinn <kquinn@law.berkeley.edu>, Jong Hee Park <jhp@uchicago.edu>

License: GPL-2

Uses: coda, MASS
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, BayesPostEst, bayest, boolean, bridgesampling, DOBAD, dyn, frontier, glmmTMB, greta, harvestr, IPMpack, lsmeans, MultiBD, PLMIX, pscl, Rlda, SciencePo, SciencesPo, Zelig
Reverse enhances: emmeans

Released over 8 years ago.