MCMCpack
Markov Chain Monte Carlo (MCMC) 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 1.0.3. 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.
- Version1.7-1
- R version≥ 3.6
- LicenseGPL-3
- Needs compilation?Yes
- MCMCpack citation info
- Last release08/27/2024
Documentation
Team
Jong Hee Park
Andrew D. Martin
Show author detailsRolesAuthorKevin M. Quinn
Show author detailsRolesAuthorGhislain Vieilledent
Show author detailsRolesContributorMichael Malecki
Show author detailsRolesContributorMatthew Blackwell
Show author detailsRolesContributorKeith Poole
Show author detailsRolesContributorCraig Reed
Show author detailsRolesContributorBen Goodrich
Show author detailsRolesContributorQiushi Yu
Show author detailsRolesContributorRoss Ihaka
Show author detailsRolesCopyright holderThe R Development Core Team
Show author detailsRolesCopyright holderThe R Foundation
Show author detailsRolesCopyright holderPierre L'Ecuyer
Show author detailsRolesCopyright holderMakoto Matsumoto
Show author detailsRolesCopyright holderTakuji Nishimura
Show author detailsRolesCopyright holder
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- Depends4 packages
- Imports6 packages
- Reverse Depends12 packages
- Reverse Imports89 packages
- Reverse Suggests15 packages
- Reverse Enhances1 package