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gnu: Add r-bayesm.

* gnu/packages/cran.scm (r-bayesm): New variable.
master
Ricardo Wurmus 2019-03-12 22:12:44 +01:00
parent 1901a53241
commit 8cd3f49d46
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@ -10941,3 +10941,38 @@ several common set, element and attribute related tasks.")
"This package provides a collection of some tests commonly used for "This package provides a collection of some tests commonly used for
identifying outliers.") identifying outliers.")
(license license:gpl2+))) (license license:gpl2+)))
(define-public r-bayesm
(package
(name "r-bayesm")
(version "3.1-1")
(source
(origin
(method url-fetch)
(uri (cran-uri "bayesm" version))
(sha256
(base32
"0y30cza92s6kgvmxjpr6f5g0qbcck7hslqp89ncprarhxiym2m28"))))
(build-system r-build-system)
(propagated-inputs
`(("r-rcpp" ,r-rcpp)
("r-rcpparmadillo" ,r-rcpparmadillo)))
(home-page "http://www.perossi.org/home/bsm-1")
(synopsis "Bayesian inference for marketing/micro-econometrics")
(description
"This package covers many important models used in marketing and
micro-econometrics applications, including Bayes Regression (univariate or
multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and
Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP),
Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate
Mixtures of Normals (including clustering), Dirichlet Process Prior Density
Estimation with normal base, Hierarchical Linear Models with normal prior and
covariates, Hierarchical Linear Models with a mixture of normals prior and
covariates, Hierarchical Multinomial Logits with a mixture of normals prior
and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior
and covariates, Hierarchical Negative Binomial Regression Models, Bayesian
analysis of choice-based conjoint data, Bayesian treatment of linear
instrumental variables models, Analysis of Multivariate Ordinal survey data
with scale usage heterogeneity, and Bayesian Analysis of Aggregate Random
Coefficient Logit Models.")
(license license:gpl2+)))