R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
MCMCpack
Markov Chain Monte Carlo (MCMC) Package
View on CRAN: Click
here
Download and install MCMCpack package within the R console
Install from CRAN:
install.packages("MCMCpack")
Install from Github:
library("remotes")
install_github("cran/MCMCpack") Install by package version:
library("remotes")
install_version("MCMCpack", "1.7-1") Attach the package and use:
library("MCMCpack")
Maintained by
Jong Hee Park
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2003-02-21
Latest Update: 2024-08-27
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.
How to cite:
Jong Hee Park (2003). MCMCpack: Markov Chain Monte Carlo (MCMC) Package. R package version 1.7-1, https://cran.r-project.org/web/packages/MCMCpack. Accessed 05 Oct. 2026.
Previous versions and publish date:
0.3-10 (2003-02-21 18:07), 0.3-11 (2003-03-20 21:30), 0.4-1 (2003-06-11 21:18), 0.4-2 (2003-07-24 10:09), 0.4-3 (2003-09-12 22:24), 0.4-4 (2003-11-15 22:29), 0.4-5 (2003-11-18 20:16), 0.4-6 (2003-11-24 00:49), 0.4-7 (2004-02-05 09:20), 0.4-8 (2004-02-17 00:32), 0.4-9 (2004-07-04 16:23), 0.5-1 (2004-08-05 10:47), 0.5-2 (2004-12-27 13:49), 0.6-1 (2005-02-21 09:20), 0.6-2 (2005-03-09 21:40), 0.6-3 (2005-03-15 13:22), 0.6-4 (2005-03-17 17:11), 0.6-5 (2005-06-30 08:35), 0.6-6 (2005-11-15 09:26), 0.7-1 (2006-01-28 22:26), 0.7-2 (2006-05-30 09:58), 0.7-3 (2006-09-18 10:06), 0.7-4 (2006-09-29 23:41), 0.8-1 (2007-01-12 09:28), 0.8-2 (2007-04-24 14:18), 0.9-1 (2007-08-25 18:46), 0.9-2 (2007-10-03 09:45), 0.9-3 (2007-10-17 09:18), 0.9-4 (2008-03-03 19:52), 0.9-5 (2008-12-05 09:54), 0.9-6 (2009-02-17 20:23), 1.0-1 (2009-07-01 14:02), 1.0-2 (2009-07-18 17:22), 1.0-3 (2009-07-30 14:51), 1.0-4 (2009-09-08 07:05), 1.0-5 (2009-11-29 18:23), 1.0-6 (2010-05-11 20:43), 1.0-7 (2010-06-04 23:33), 1.0-8 (2010-10-19 18:30), 1.0-9 (2011-01-31 19:50), 1.0-10 (2011-02-28 10:28), 1.0-11 (2011-04-26 17:12), 1.1-1 (2011-07-23 15:02), 1.1-3 (2011-09-10 08:16), 1.1-4 (2011-09-26 16:24), 1.1-5 (2011-10-24 16:40), 1.2-1 (2011-11-14 20:01), 1.2-2 (2012-03-03 07:49), 1.2-3 (2012-04-16 08:09), 1.2-4.1 (2013-04-07 00:05), 1.2-4 (2012-06-14 12:36), 1.3-1 (2013-04-17 07:58), 1.3-2 (2013-04-19 19:53), 1.3-3 (2013-05-01 07:02), 1.3-4 (2016-02-11 08:27), 1.3-5 (2016-03-11 11:35), 1.3-6 (2016-04-15 08:32), 1.3-7 (2016-08-21 10:55), 1.3-8 (2016-10-27 11:17), 1.3-9 (2017-01-26 20:46), 1.4-0 (2017-06-05 20:19), 1.4-1 (2017-12-05 13:58), 1.4-2 (2018-01-21 20:10), 1.4-3 (2018-05-15 09:54), 1.4-4 (2018-09-14 07:30), 1.4-5 (2019-12-01 13:50), 1.4-6 (2020-02-13 08:10), 1.4-7 (2020-05-08 08:00), 1.4-8 (2020-05-31 23:30), 1.4-9 (2020-08-02 19:30), 1.5-0 (2021-01-20 12:50), 1.6-0 (2021-10-06 07:40), 1.6-1 (2022-03-03 13:20), 1.6-2 (2022-03-31 01:30), 1.6-3 (2022-04-13 13:12), 1.7-0 (2024-01-18 16:20), (2026-07-09 08:09)
Other packages that cited MCMCpack R package
View MCMCpack citation profile
Other R packages that MCMCpack depends,
imports, suggests or enhances
Complete documentation for MCMCpack
Functions, R codes and Examples using
the MCMCpack R package
Some associated functions: BayesFactor . Dirichlet . Euro2016 . HDPHMMnegbin . HDPHMMpoisson . HDPHSMMnegbin . HMMpanelFE . HMMpanelRE . InvGamma . InvWishart . MCMCSVDreg . MCMCbinaryChange . MCMCdynamicEI . MCMCdynamicIRT1d . MCMCfactanal . MCMChierEI . MCMChlogit . MCMChpoisson . MCMChregress . MCMCirt1d . MCMCirtHier1d . MCMCirtKd . MCMCirtKdRob . MCMClogit . MCMCmetrop1R . MCMCmixfactanal . MCMCmnl . MCMCnegbin . MCMCnegbinChange . MCMCoprobit . MCMCoprobitChange . MCMCordfactanal . MCMCpaircompare . MCMCpaircompare2d . MCMCpaircompare2dDP . MCMCpoisson . MCMCpoissonChange . MCMCprobit . MCMCprobitChange . MCMCquantreg . MCMCregress . MCMCregressChange . MCMCresidualBreakAnalysis . MCMCtobit . MCbinomialbeta . MCmultinomdirichlet . MCnormalnormal . MCpoissongamma . Nethvote . NoncenHypergeom . PErisk . PostProbMod . Rehnquist . SSVSquantreg . Senate . SupremeCourt . Wishart . choicevar . dtomogplot . make.breaklist . mptable . plot.qrssvs . plotChangepoint . plotHDPChangepoint . plotState . procrustes . read.Scythe . summaryqrssvs . testpanelGroupBreak . testpanelSubjectBreak . tomogplot . topmodels . vech . write.Scythe . xpnd .
Some associated R codes: BayesFactors.R . HDPHMMnegbin.R . HDPHMMpoisson.R . HDPHSMMnegbin.R . HMMpanelFE.R . HMMpanelRE.R . MCMCSVDreg.R . MCMCbinaryChange.R . MCMCdynamicEI.R . MCMCdynamicIRT1d-b.R . MCMCdynamicIRT1d.R . MCMCfactanal.R . MCMChierBetaBinom.R . MCMChierEI.R . MCMChlogit.R . MCMChpoisson.R . MCMChregress.R . MCMCirt1d.R . MCMCirtHier1d.R . MCMCirtKd.R . MCMCirtKdRob.R . MCMClogit.R . MCMCmetrop1R.R . MCMCmixfactanal.R . MCMCmnl.R . MCMCnegbin.R . MCMCnegbinChange.R . MCMCoprobit.R . MCMCoprobitChange.R . MCMCordfactanal.R . MCMCpack-package.R . MCMCpaircompare.R . MCMCpaircompare2d.R . MCMCpaircompare2dDP.R . MCMCpoisson.R . MCMCpoissonChange.R . MCMCprobit.R . MCMCprobitChange.R . MCMCquantreg.R . MCMCregress.R . MCMCregressChange.R . MCMCresidualBreakAnalysis.R . MCMCtobit.R . MCmodels.R . SSVSquantreg.R . SSVSquantregsummary.R . automate.R . btsutil.R . data.R . distn.R . hdp-utils.R . hidden-hmodels.R . hidden.R . make.breaklist.R . procrust.R . scythe.R . testpanelGroupBreak.R . testpanelSubjectBreak.R . tomog.R . utility.R . zzz.R . Full MCMCpack package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
genie
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Includes the reference implementation of Genie - a hierarchical
clustering algorithm that links two ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marek Gagolewski (view profile)
cdlTools
Tools to Download and Work with USDA Cropscape Data
Downloads USDA National Agricultural Statistics Service (NASS)
cropscape data for a specified state ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jonathan Lisic (view profile)
quickcode
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
correlation
Methods for Correlation Analysis
Lightweight package for computing different kinds
of correlations, such as partial correlations, Ba ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Brenton M. Wiernik (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
