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Paketbeschreibung


Paketnamer-cran-mcmcpack
BeschreibungGNU R routines for Markov chain Monte Carlo model estimation
Archiv/RepositoryOffizielles Debian Archiv squeeze (main)
Version1.0-7-1
Sektiongnu-r
Prioritätoptional
Installierte Größe2448 Byte
Hängt ab vonr-base-core (>= 2.10.0~1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), r-cran-cod
Empfohlene Pakete
PaketbetreuerChris Lawrence
Quellemcmcpack
Paketgröße959868 Byte
Prüfsumme MD579a59001ca09b8e48c4efe65d9a03620
Prüfsumme SHA10de3d68eabaadf10782ee291c73a0a4dd0a47c2b
Prüfsumme SHA256d0a911953b09229eab0d48bb31e01eacc0032053cf9f831fd21b861868dfbbd3
Link zum Herunterladenr-cran-mcmcpack_1.0-7-1_i386.deb
Ausführliche BeschreibungThis 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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