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 Aug. 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
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)
noisyr
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput
sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ilias Moutsopoulos (view profile)
kernelPSI
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lotfi Slim (view profile)
dhReg
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pranay Gaikwad (view profile)
dcov
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hang Weiqiang (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
