Pakket: r-cran-mcmcpack (1.4-4-1)

[ Bron: r-cran-mcmcpack  ]

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.

Tags: Softwareontwikkeling: Ontwikkelen in GNU R, Bibliotheken, Field: Statistics, Implemented in: implemented-in::r, role::app-data, Application Suite: GNU

Andere aan r-cran-mcmcpack gerelateerde pakketten

• dep: libc6 (>= 2.14)

  GNU C Bibliotheek: Gedeelde bibliotheken
  Ook een virtueel pakket geboden door: libc6-udeb

• dep: libgcc1 (>= 1:3.0)

  GCC support bibliotheek

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: r-api-3.5

  virtueel pakket geboden door r-base-core

• dep: r-base-core (>= 3.5.1-1)

  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

r-cran-mcmcpack downloaden

Pakket downloaden voor alle beschikbare platforms

Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
amd64	1.540,8 kB	3.290,0 kB	[overzicht]