MCMCpack: Markov chain Monte Carlo in R
dc.contributor.author | Martin, Andrew D. | |
dc.contributor.author | Quinn, Kevin M. | |
dc.contributor.author | Park, Jong Hee | |
dc.date.accessioned | 2015-12-04T15:39:13Z | |
dc.date.available | 2015-12-04T15:39:13Z | |
dc.date.issued | 2011-06 | |
dc.identifier.citation | Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park. 2011. “MCMCpack: Markov chain Monte Carlo in R.” Journal of Statistical Software. 42(9): 1-21. | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/116099 | |
dc.description.abstract | We introduce MCMCpack, an R package that contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. In addition to code that can be used to fit commonly used models, MCMCpack also contains some useful utility functions, including some additional density functions and pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Foundation for Open Access Statistics | en_US |
dc.subject | Bayesian inference | en_US |
dc.subject | Markov chain Monte Carlo | en_US |
dc.subject | R | en_US |
dc.title | MCMCpack: Markov chain Monte Carlo in R | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Political Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.contributor.affiliationum | LSA Dean's Office | en_US |
dc.contributor.affiliationother | University of California, Berkeley | en_US |
dc.contributor.affiliationother | University of Chicago | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/116099/1/jstatSoft11a.pdf | |
dc.identifier.source | Journal of Statistical Software | en_US |
dc.identifier.orcid | 0000-0002-6532-0721 | en_US |
dc.identifier.name-orcid | Martin, Andrew; 0000-0002-6532-0721 | en_US |
dc.owningcollname | Political Science |
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