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  "Date": "2024-08-27",
  "Title": "Markov Chain Monte Carlo (MCMC) Package",
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  "Description": "Contains functions to perform Bayesian inference using\nposterior simulation for a number of statistical models. Most\nsimulation is done in compiled C++ written in the Scythe\nStatistical Library Version 1.0.3. All models return 'coda'\nmcmc objects that can then be summarized using the 'coda'\npackage. Some useful utility functions such as density\nfunctions, pseudo-random number generators for statistical\ndistributions, a general purpose Metropolis sampling algorithm,\nand tools for visualization are provided.",
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  "SystemRequirements": "gcc (>= 4.0)",
  "URL": "https://CRAN.R-project.org/package=MCMCpack",
  "Packaged": {
    "Date": "2026-05-17 09:47:24 UTC",
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  "Author": "Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park\n[aut, cre], Ghislain Vieilledent [ctb], Michael Malecki [ctb],\nMatthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb],\nBen Goodrich [ctb], Qiushi Yu [ctb], Ross Ihaka [cph], The R\nDevelopment Core Team [cph], The R Foundation [cph], Pierre\nL'Ecuyer [cph], Makoto Matsumoto [cph], Takuji Nishimura [cph]",
  "Maintainer": "Jong Hee Park <jongheepark@snu.ac.kr>",
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