Last data update: 2014.03.03

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MCMCpack : Markov Chain Monte Carlo (MCMC) Package

Package: MCMCpack
Version: 1.3-6
Date: 2016-4-16
Title: Markov Chain Monte Carlo (MCMC) Package
Author: Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
Maintainer: Jong Hee Park <>
Depends: R (>= 2.10.0), coda (>= 0.11-3), MASS, stats
Imports: graphics, grDevices, lattice, methods, utils, mcmc, quantreg
Description: 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.
License: GPL-3
SystemRequirements: gcc (>= 4.0)
Packaged: 2016-04-15 00:19:09 UTC; parkjonghee
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-04-15 08:32:53

● Data Source: CranContrib
● Cran Task View: Distributions, Multivariate, Psychometrics, Survival
3 images, 61 functions, 5 datasets
Reverse Depends: 19