MCMCpack (1.41)
Markov Chain Monte Carlo (MCMC) Package.
https://CRAN.Rproject.org/package=MCMCpack
http://cran.rproject.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, pseudorandom 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: GPL3
Uses: coda, lattice, MASS, mcmc, quantreg
Reverse depends: adaptsmoFMRI, agRee, anominate, bacr, BayesCR, bayespref, Bergm, CARBayes, CoinMinD, cudia, depmixS4, DMRMark, driftsel, glmdm, GLMMarp, hierarchicalDS, HMP, HSROC, HWEBayes, hzar, manet, mfr, milonga, miscF, NHMM, ocomposition, optDesignSlopeInt, pCalibrate, PhViD, R2GUESS, robustsae, RxCEcolInf, SimpleTable, StVAR, uskewFactors
Reverse suggests: BayesDA, bayesGDS, boolean, DOBAD, dyn, frontier, glmmTMB, greta, harvestr, IPMpack, lsmeans, MultiBD, PLMIX, pscl, Rlda, SciencePo, SciencesPo, Zelig
Reverse enhances: emmeans
Released 12 days ago.
33 previous versions
 MCMCpack_1.40. Released 6 months ago.
 MCMCpack_1.39. Released 11 months ago.
 MCMCpack_1.38. Released about 1 year ago.
 MCMCpack_1.37. Released over 1 year ago.
 MCMCpack_1.36. Released over 1 year ago.
 MCMCpack_1.35. Released almost 2 years ago.
 MCMCpack_1.34. Released almost 2 years ago.
 MCMCpack_1.33. Released over 4 years ago.
 MCMCpack_1.32. Released over 4 years ago.
 MCMCpack_1.31. Released over 4 years ago.
 MCMCpack_1.24.1. Released over 4 years ago.
 MCMCpack_1.24. Released over 5 years ago.
 MCMCpack_1.23. Released over 5 years ago.
 MCMCpack_1.22. Released almost 6 years ago.
 MCMCpack_1.21. Released about 6 years ago.
 MCMCpack_1.15. Released about 6 years ago.
 MCMCpack_1.14. Released about 6 years ago.
 MCMCpack_1.13. Released over 6 years ago.
 MCMCpack_1.11. Released over 6 years ago.
 MCMCpack_1.011. Released over 6 years ago.
 MCMCpack_1.010. Released almost 7 years ago.
 MCMCpack_1.09. Released almost 7 years ago.
 MCMCpack_1.08. Released about 7 years ago.
 MCMCpack_1.07. Released over 7 years ago.
 MCMCpack_1.06. Released over 7 years ago.
 MCMCpack_1.05. Released about 8 years ago.
 MCMCpack_1.04. Released over 8 years ago.
 MCMCpack_1.03. Released over 8 years ago.
 MCMCpack_1.02. Released over 8 years ago.
 MCMCpack_1.01. Released over 8 years ago.
 MCMCpack_0.96. Released almost 9 years ago.
 MCMCpack_0.94. Released almost 10 years ago.
 MCMCpack_0.93. Released about 10 years ago.
Ratings
Overall: 

Documentation: 

Log in to vote.
Reviews
No one has written a review of MCMCpack yet. Want to be the first? Write one now.
Related packages: VGAM, MCMCglmm, LearnBayes, bayesm, e1071, eRm, lme4, ltm, MASS, BMA, BayHaz, DPpackage, FactoMineR, GPArotation, HI, Hmisc, MNP, MasterBayes, PTAk, R2WinBUGS … (20 best matches, based on common tags.)
Search for MCMCpack on google, google scholar, rhelp, rdevel.
Visit MCMCpack on R Graphical Manual.