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Paketbeschreibung


Paketnamer-cran-mcmcpack
BeschreibungGNU R routines for Markov chain Monte Carlo model estimation
Archiv/RepositoryOffizielles Ubuntu Archiv lucid (universe)
Version1.0-4-2
Sektionuniverse/math
Prioritätoptional
Installierte Größe2324 Byte
Hängt ab vonr-base-core (>= 2.10.0~1), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), r-cran-coda
Empfohlene Pakete
PaketbetreuerUbuntu Developers
Quellemcmcpack
Paketgröße884064 Byte
Prüfsumme MD5291b6144ec0ecbcc8fb47863f22ea652
Prüfsumme SHA1101a3c17b2be63aff4b5fb80e48dfe0adc047708
Prüfsumme SHA256872a463ab49ed5593ad282ef817833254f4ce12c647c72f089e480f9330e6919
Link zum Herunterladenr-cran-mcmcpack_1.0-4-2_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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