R-bayesm - Bayesian inference for marketing/micro-econometrics

Property Value
Distribution NetBSD 7.2
Repository NetBSD amd64
Package filename R-bayesm-3.1.3.tgz
Package name R-bayesm
Package version 3.1.3
Package release -
Package architecture amd64
Package type tgz
Category R finance math
Homepage https://CRAN.R-project.org/package=bayesm
License gnu-gpl-v2 OR gnu-gpl-v3
Maintainer -
Download size 2.43 MB
Installed size 5.57 MB
Covers many important models used in marketing and micro-econometrics
applications. The package includes: 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 (as
in Rossi et al, JASA (01)), Bayesian Analysis of Aggregate Random
Coefficient Logit Models as in BLP (see Jiang, Manchanda, Rossi 2009)
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch (Wiley 2005) and Bayesian
Non- and Semi-Parametric Methods and Applications (Princeton U Press


Package Version Architecture Repository
R-bayesm-3.1.3.tgz 3.1.3 i386 NetBSD
R-bayesm - - -


Name Value
R >= 2.2.1nb2
R-Rcpp >= 1.0.2
R-RcppArmadillo >= 0.9.600.4.0
g95 >= 0.91


Type URL
Mirror ftp.netbsd.org
Binary Package R-bayesm-3.1.3.tgz
Source Package R-bayesm

Install Howto

Install R-bayesm tgz package:

# pkg_add R-bayesm



See Also

Package Description
R-bbmle-1.0.20.tgz Tools for general maximum likelihood estimation
R-bindr-0.1.1.tgz Parametrized Active Bindings
R-bit-1.1.14.tgz Class for vectors of 1-bit booleans
R-bitops-1.0.6.tgz Functions for Bitwise operations on integer vectors
R-blob-1.2.0.tgz Simple S3 class for representing vectors of binary data ('BLOBS')
R-brew-1.0.6.tgz Templating framework for report generation
R-callr-3.3.1.tgz Call R from R
R-car-3.0.3.tgz Companion to 'Applied Regression'
R-carData-3.0.2.tgz Companion to Applied Regression Data Sets
R-cellranger-1.1.0.tgz Translate spreadsheet cell ranges to rows and columns
R-checkmate-1.9.4.tgz Fast and versatile argument checks
R-chron-2.3.53.tgz Chronological objects which can handle dates and times
R-circular-0.4.93.tgz Circular Statistics, from "Topics in circular Statistics"
R-classInt-0.3.3.tgz Choose univariate class intervals
R-cli-1.1.0.tgz Helpers for developing command line interfaces