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Paquet : r-cran-mcmcpack (1.4-6-1)

R routines for Markov chain Monte Carlo model estimation

This is a set of routines for GNU R that implement various statistical and econometric models using Markov chain Monte Carlo (MCMC) estimation, which allows "solving" models that would otherwise be intractable with traditional techniques, particularly problems in Bayesian statistics (where one or more "priors" are used as part of the estimation procedure, instead of an assumption of ignorance about the "true" point estimates), although MCMC can also be used to solve frequentist statistical problems with uninformative priors. MCMC techniques are also preferable over direct estimation in the presence of missing data.

Currently implemented are a number of ecological inference (EI) routines (for estimating individual-level attributes or behavior from aggregate data, such as electoral returns or census results), as well as models for traditional linear panel and cross-sectional data, some visualization routines for EI diagnostics, two item-response theory (or ideal-point estimation) models, metric, ordinal, and mixed-response factor analysis, and models for Gaussian (linear) and Poisson regression, logistic regression (or logit), and binary and ordinal-response probit models.

The suggested packages (r-cran-bayesm, -eco, and -mnp) contain additional models that may also be useful for those interested in this package.

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  • dep: libc6 (>= 2.29)
    GNU C Library: Shared libraries
    un paquet virtuel est également fourni par libc6-udeb
  • dep: libgcc-s1 (>= 3.0) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libstdc++6 (>= 9)
    GNU Standard C++ Library v3
  • dep: r-api-3.5
    paquet virtuel fourni par r-base-core
  • dep: r-base-core (>= 3.6.2-2build1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-coda (>= 0.11-3)
    Output analysis and diagnostics for MCMC simulations in R
  • dep: r-cran-lattice
    GNU R package for 'Trellis' graphics
  • dep: r-cran-mass
    GNU R package of Venables and Ripley's MASS
  • dep: r-cran-mcmc
    GNU R package for Markov Chain Monte Carlo simulations
  • dep: r-cran-quantreg
    GNU R package for quantile regression

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Architecture Taille du paquet Espace occupé une fois installé Fichiers
amd64 1 692,7 ko3906 ko [liste des fichiers]
armhf 1 629,9 ko2865 ko [liste des fichiers]