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Paketti: r-cran-mcmc (0.9-6.1-1)

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.

Muut pakettiin r-cran-mcmc liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    myös näennäispaketti, jonka toteuttaa libc6-udeb
  • dep: r-api-3.5
    näennäispaketti, jonka toteuttaa r-base-core
  • dep: r-base-core (>= 3.6.2-2build1)
    GNU R core of statistical computation and graphics system
  • sug: r-cran-iso
    GNU R functions to perform isotonic regression
  • sug: r-cran-xtable
    GNU R coerce data to LaTeX and HTML tables
  • enh: r-cran-mcmcpack
    R routines for Markov chain Monte Carlo model estimation

Imuroi r-cran-mcmc

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Arkkitehtuuri Paketin koko Koko asennettuna Tiedostot
amd64 1,344.8 kt1636 kt [tiedostoluettelo]
armhf 1,342.1 kt1619 kt [tiedostoluettelo]