[ 原始碼： r-cran-mcmc ]
套件：r-cran-mcmc（0.9-7-1 以及其他的）
GNU R package for Markov Chain Monte Carlo simulations
Simulates continuous distributions of random vectors using Markov chain Monte Carlo (MCMC). Users specify the distribution by an R function that evaluates the log unnormalized density. Algorithms are random walk Metropolis algorithm (function metrop), simulated tempering (function temper), and morphometric random walk Metropolis (Johnson and Geyer, Annals of Statistics, 2012, function morph.metrop), which achieves geometric ergodicity by change of variable.
其他與 r-cran-mcmc 有關的套件
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- dep: libc6 (>= 2.17)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.0.0-3)
- GNU R core of statistical computation and graphics system
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- rec: r-cran-iso
- GNU R functions to perform isotonic regression
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- sug: r-cran-xtable
- GNU R coerce data to LaTeX and HTML tables
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- enh: r-cran-mcmcpack
- R routines for Markov chain Monte Carlo model estimation