From owner-cvs-ports@FreeBSD.ORG Mon Mar 7 12:04:36 2011 Return-Path: Delivered-To: cvs-ports@FreeBSD.org Received: from mx1.freebsd.org (mx1.freebsd.org [IPv6:2001:4f8:fff6::34]) by hub.freebsd.org (Postfix) with ESMTP id 23DB3106564A; Mon, 7 Mar 2011 12:04:36 +0000 (UTC) (envelope-from wen@FreeBSD.org) Received: from repoman.freebsd.org (repoman.freebsd.org [IPv6:2001:4f8:fff6::29]) by mx1.freebsd.org (Postfix) with ESMTP id 1299F8FC13; Mon, 7 Mar 2011 12:04:36 +0000 (UTC) Received: from repoman.freebsd.org (localhost [127.0.0.1]) by repoman.freebsd.org (8.14.4/8.14.4) with ESMTP id p27C4ZKB056324; Mon, 7 Mar 2011 12:04:35 GMT (envelope-from wen@repoman.freebsd.org) Received: (from wen@localhost) by repoman.freebsd.org (8.14.4/8.14.4/Submit) id p27C4ZAH056323; Mon, 7 Mar 2011 12:04:35 GMT (envelope-from wen) Message-Id: <201103071204.p27C4ZAH056323@repoman.freebsd.org> From: Wen Heping Date: Mon, 7 Mar 2011 12:04:35 +0000 (UTC) To: ports-committers@FreeBSD.org, cvs-ports@FreeBSD.org, cvs-all@FreeBSD.org X-FreeBSD-CVS-Branch: HEAD Cc: Subject: cvs commit: ports/science Makefile ports/science/R-cran-bayesm Makefile distinfo pkg-descr X-BeenThere: cvs-ports@freebsd.org X-Mailman-Version: 2.1.5 Precedence: list List-Id: CVS commit messages for the ports tree List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 07 Mar 2011 12:04:36 -0000 wen 2011-03-07 12:04:35 UTC FreeBSD ports repository Modified files: science Makefile Added files: science/R-cran-bayesm Makefile distinfo pkg-descr Log: bayesm 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, and Analysis of Multivariate Ordinal survey data with scale usage heterogeneity (as in Rossi et al, JASA (01)). WWW: http://www.perossi.org/home/bsm-1 Revision Changes Path 1.202 +1 -0 ports/science/Makefile 1.1 +20 -0 ports/science/R-cran-bayesm/Makefile (new) 1.1 +2 -0 ports/science/R-cran-bayesm/distinfo (new) 1.1 +16 -0 ports/science/R-cran-bayesm/pkg-descr (new)