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From: TAKATSU Tomonari <tota@FreeBSD.org>
Date: Sat, 20 Apr 2013 23:10:26 +0000 (UTC)
To: ports-committers@freebsd.org, svn-ports-all@freebsd.org,
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Subject: svn commit: r316167 - head/math/R-cran-MCMCpack
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Author: tota
Date: Sat Apr 20 23:10:25 2013
New Revision: 316167
URL: http://svnweb.freebsd.org/changeset/ports/316167

Log:
  - Update to 1.3-2
  - Update pkg-descr
  
  Feature safe:	yes

Modified:
  head/math/R-cran-MCMCpack/Makefile
  head/math/R-cran-MCMCpack/distinfo
  head/math/R-cran-MCMCpack/pkg-descr

Modified: head/math/R-cran-MCMCpack/Makefile
==============================================================================
--- head/math/R-cran-MCMCpack/Makefile	Sat Apr 20 21:44:04 2013	(r316166)
+++ head/math/R-cran-MCMCpack/Makefile	Sat Apr 20 23:10:25 2013	(r316167)
@@ -2,7 +2,7 @@
 # $FreeBSD$
 
 PORTNAME=	MCMCpack
-DISTVERSION=	1.3-1
+DISTVERSION=	1.3-2
 CATEGORIES=	math
 DISTNAME=	${PORTNAME}_${DISTVERSION}
 

Modified: head/math/R-cran-MCMCpack/distinfo
==============================================================================
--- head/math/R-cran-MCMCpack/distinfo	Sat Apr 20 21:44:04 2013	(r316166)
+++ head/math/R-cran-MCMCpack/distinfo	Sat Apr 20 23:10:25 2013	(r316167)
@@ -1,2 +1,2 @@
-SHA256 (MCMCpack_1.3-1.tar.gz) = d2f445b979fe5467278abbb783661020522d2c1964d10c3109b4d2f20a99e5ff
-SIZE (MCMCpack_1.3-1.tar.gz) = 491811
+SHA256 (MCMCpack_1.3-2.tar.gz) = 6aec4a38e05631e5cc42d5eddf2bc70f7623ea0ba7429b3a1641e61fdfcacec6
+SIZE (MCMCpack_1.3-2.tar.gz) = 509502

Modified: head/math/R-cran-MCMCpack/pkg-descr
==============================================================================
--- head/math/R-cran-MCMCpack/pkg-descr	Sat Apr 20 21:44:04 2013	(r316166)
+++ head/math/R-cran-MCMCpack/pkg-descr	Sat Apr 20 23:10:25 2013	(r316167)
@@ -1,7 +1,7 @@
 This package contains functions to perform Bayesian inference using
 posterior simulation for a number of statistical models. Most
 simulation is done in compiled C++ written in the Scythe Statistical
-Library Version 1.0.2. All models return coda mcmc objects that can
+Library Version 1.0.3. All models return coda mcmc objects that can
 then be summarized using the coda package. MCMCpack also contains
 some useful utility functions, including some additional density
 functions and pseudo-random number generators for statistical