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Balík: 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.

Ostatné balíky súvisiace s balíkom r-cran-mcmc

  • závisí
  • odporúča
  • navrhuje
  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    tiež virtuálny balík poskytovaný balíkom libc6-udeb
  • dep: r-api-3.5
    virtuálny balík poskytovaný balíkom 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

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Architektúra Veľkosť balíka Nainštalovaná veľkosť Súbory
amd64 1,344.8 kB1636 kB [zoznam súborov]
armhf 1,342.1 kB1619 kB [zoznam súborov]