svn commit: r307669 - in head/math: . R-cran-LearnBayes

[TAKATSU Tomonari]

Author: tota
Date: Fri Nov 23 02:32:01 2012
New Revision: 307669
URL: http://svnweb.freebsd.org/changeset/ports/307669

Log:
  - Add a new port: math/R-cran-LearnBayes
  
    LearnBayes contains a collection of functions helpful in learning
    the basic tenets of Bayesian statistical inference. It contains
    functions for summarizing basic one and two parameter posterior
    distributions and predictive distributions. It contains MCMC
    algorithms for summarizing posterior distributions defined by the
    user. It also contains functions for regression models, hierarchical
    models, Bayesian tests, and illustrations of Gibbs sampling.
  
    WWW: http://cran.r-project.org/web/packages/LearnBayes/
  
  Feature safe:	yes

Added:
  head/math/R-cran-LearnBayes/
  head/math/R-cran-LearnBayes/Makefile   (contents, props changed)
  head/math/R-cran-LearnBayes/distinfo   (contents, props changed)
  head/math/R-cran-LearnBayes/pkg-descr   (contents, props changed)
Modified:
  head/math/Makefile

Modified: head/math/Makefile
==============================================================================
--- head/math/Makefile	Fri Nov 23 02:27:09 2012	(r307668)
+++ head/math/Makefile	Fri Nov 23 02:32:01 2012	(r307669)
@@ -8,6 +8,7 @@
     SUBDIR += R
     SUBDIR += R-cran-Formula
     SUBDIR += R-cran-KFAS
+    SUBDIR += R-cran-LearnBayes
     SUBDIR += R-cran-MCMCpack
     SUBDIR += R-cran-RSvgDevice
     SUBDIR += R-cran-SuppDists

Added: head/math/R-cran-LearnBayes/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-LearnBayes/Makefile	Fri Nov 23 02:32:01 2012	(r307669)
@@ -0,0 +1,18 @@
+# Created by: TAKATSU Tomonari <tota at FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	LearnBayes
+PORTVERSION=	2.12
+CATEGORIES=	math
+DISTNAME=	${PORTNAME}_${PORTVERSION}
+
+MAINTAINER=	tota at FreeBSD.org
+COMMENT=	Functions for Learning Bayesian Inference
+
+LICENSE=	GPLv2 GPLv3
+LICENSE_COMB=	dual
+
+USE_R_MOD=	yes
+R_MOD_AUTOPLIST=	yes
+
+.include <bsd.port.mk>

Added: head/math/R-cran-LearnBayes/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-LearnBayes/distinfo	Fri Nov 23 02:32:01 2012	(r307669)
@@ -0,0 +1,2 @@
+SHA256 (LearnBayes_2.12.tar.gz) = 5559d5fcceda7b695a62b88b8288a15367ea176b6d8769a8f811f0e9b8a3d37a
+SIZE (LearnBayes_2.12.tar.gz) = 88819

Added: head/math/R-cran-LearnBayes/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-LearnBayes/pkg-descr	Fri Nov 23 02:32:01 2012	(r307669)
@@ -0,0 +1,9 @@
+LearnBayes contains a collection of functions helpful in learning
+the basic tenets of Bayesian statistical inference. It contains
+functions for summarizing basic one and two parameter posterior
+distributions and predictive distributions. It contains MCMC
+algorithms for summarizing posterior distributions defined by the
+user. It also contains functions for regression models, hierarchical
+models, Bayesian tests, and illustrations of Gibbs sampling.
+
+WWW: http://cran.r-project.org/web/packages/LearnBayes/