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[pkgsrc/trunk]: pkgsrc R-bayesm: initial commit
details: https://anonhg.NetBSD.org/pkgsrc/rev/74c75e9ad7e1
branches: trunk
changeset: 399414:74c75e9ad7e1
user: brook <brook%pkgsrc.org@localhost>
date: Fri Aug 09 15:39:04 2019 +0000
description:
R-bayesm: initial commit
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
2014).
diffstat:
doc/CHANGES-2019 | 3 ++-
finance/Makefile | 3 ++-
finance/R-bayesm/DESCR | 21 +++++++++++++++++++++
finance/R-bayesm/Makefile | 16 ++++++++++++++++
finance/R-bayesm/distinfo | 6 ++++++
5 files changed, 47 insertions(+), 2 deletions(-)
diffs (85 lines):
diff -r d7912895f85e -r 74c75e9ad7e1 doc/CHANGES-2019
--- a/doc/CHANGES-2019 Fri Aug 09 15:20:31 2019 +0000
+++ b/doc/CHANGES-2019 Fri Aug 09 15:39:04 2019 +0000
@@ -1,4 +1,4 @@
-$NetBSD: CHANGES-2019,v 1.3323 2019/08/09 15:20:31 brook Exp $
+$NetBSD: CHANGES-2019,v 1.3324 2019/08/09 15:39:04 brook Exp $
Changes to the packages collection and infrastructure in 2019:
@@ -5447,3 +5447,4 @@
Updated graphics/libimagequant to 2.12.5 [adam 2019-08-09]
Updated graphics/pngquant to 2.12.5 [adam 2019-08-09]
Added graphics/R-latex2exp version 0.4.0 [brook 2019-08-09]
+ Added finance/R-bayesm version 3.1.3 [brook 2019-08-09]
diff -r d7912895f85e -r 74c75e9ad7e1 finance/Makefile
--- a/finance/Makefile Fri Aug 09 15:20:31 2019 +0000
+++ b/finance/Makefile Fri Aug 09 15:39:04 2019 +0000
@@ -1,10 +1,11 @@
-# $NetBSD: Makefile,v 1.67 2018/08/16 09:24:15 wiz Exp $
+# $NetBSD: Makefile,v 1.68 2019/08/09 15:39:04 brook Exp $
#
COMMENT= Monetary, financial and related applications
SUBDIR+= QuantLib
SUBDIR+= R-TTR
+SUBDIR+= R-bayesm
SUBDIR+= R-fAsianOptions
SUBDIR+= R-fBasics
SUBDIR+= R-fOptions
diff -r d7912895f85e -r 74c75e9ad7e1 finance/R-bayesm/DESCR
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/finance/R-bayesm/DESCR Fri Aug 09 15:39:04 2019 +0000
@@ -0,0 +1,21 @@
+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
+2014).
diff -r d7912895f85e -r 74c75e9ad7e1 finance/R-bayesm/Makefile
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/finance/R-bayesm/Makefile Fri Aug 09 15:39:04 2019 +0000
@@ -0,0 +1,16 @@
+# $NetBSD: Makefile,v 1.1 2019/08/09 15:39:04 brook Exp $
+
+R_PKGNAME= bayesm
+R_PKGVER= 3.1-3
+CATEGORIES= finance
+
+MAINTAINER= pkgsrc-users%NetBSD.org@localhost
+COMMENT= Bayesian inference for marketing/micro-econometrics
+LICENSE= gnu-gpl-v2 OR gnu-gpl-v3
+
+USE_LANGUAGES= c c++ fortran
+
+.include "../../math/R/Makefile.extension"
+.include "../../devel/R-Rcpp/buildlink3.mk"
+.include "../../math/R-RcppArmadillo/buildlink3.mk"
+.include "../../mk/bsd.pkg.mk"
diff -r d7912895f85e -r 74c75e9ad7e1 finance/R-bayesm/distinfo
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/finance/R-bayesm/distinfo Fri Aug 09 15:39:04 2019 +0000
@@ -0,0 +1,6 @@
+$NetBSD: distinfo,v 1.1 2019/08/09 15:39:04 brook Exp $
+
+SHA1 (R/bayesm_3.1-3.tar.gz) = 98e60c5c3f81139d22de27fcbe06172bdfba10b5
+RMD160 (R/bayesm_3.1-3.tar.gz) = f8288e802fa3dfe4e9d8a6d731469ff8ae5d0c96
+SHA512 (R/bayesm_3.1-3.tar.gz) = c55892113ae6af3b9c626870b7de30f90c81dff446dc997da1b938a69c76960e71f25f86e62614125ab2709ce22c953013f8963a2b93afe7db08a56163f7c21d
+Size (R/bayesm_3.1-3.tar.gz) = 2269029 bytes
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