svn commit: r465773 - head/math/R-cran-LearnBayes

TAKATSU Tomonari tota at FreeBSD.org
Wed Mar 28 02:23:14 UTC 2018


Author: tota
Date: Wed Mar 28 02:23:13 2018
New Revision: 465773
URL: https://svnweb.freebsd.org/changeset/ports/465773

Log:
  - Update to 2.15.1
  - Fix LICENSE section
  - Update WWW: line in pkg-descr

Modified:
  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/R-cran-LearnBayes/Makefile
==============================================================================
--- head/math/R-cran-LearnBayes/Makefile	Tue Mar 27 23:34:44 2018	(r465772)
+++ head/math/R-cran-LearnBayes/Makefile	Wed Mar 28 02:23:13 2018	(r465773)
@@ -2,16 +2,14 @@
 # $FreeBSD$
 
 PORTNAME=	LearnBayes
-PORTVERSION=	2.15
-PORTREVISION=	2
+PORTVERSION=	2.15.1
 CATEGORIES=	math
 DISTNAME=	${PORTNAME}_${PORTVERSION}
 
 MAINTAINER=	tota at FreeBSD.org
 COMMENT=	Functions for Learning Bayesian Inference
 
-LICENSE=	GPLv2 GPLv3
-LICENSE_COMB=	dual
+LICENSE=	GPLv2+
 
 USES=	cran:auto-plist
 

Modified: head/math/R-cran-LearnBayes/distinfo
==============================================================================
--- head/math/R-cran-LearnBayes/distinfo	Tue Mar 27 23:34:44 2018	(r465772)
+++ head/math/R-cran-LearnBayes/distinfo	Wed Mar 28 02:23:13 2018	(r465773)
@@ -1,2 +1,3 @@
-SHA256 (LearnBayes_2.15.tar.gz) = 45c91114b4aaa0314feeb4311dbe78f5b75a3b76bb2d1ca0f8adb2e0f1cbe233
-SIZE (LearnBayes_2.15.tar.gz) = 968534
+TIMESTAMP = 1522140990
+SHA256 (LearnBayes_2.15.1.tar.gz) = 9b110858456523ca0b2a63f22013c4e1fbda6674b9d84dc1f4de8bffc5260532
+SIZE (LearnBayes_2.15.1.tar.gz) = 794622

Modified: head/math/R-cran-LearnBayes/pkg-descr
==============================================================================
--- head/math/R-cran-LearnBayes/pkg-descr	Tue Mar 27 23:34:44 2018	(r465772)
+++ head/math/R-cran-LearnBayes/pkg-descr	Wed Mar 28 02:23:13 2018	(r465773)
@@ -6,4 +6,4 @@ algorithms for summarizing posterior distributions def
 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/
+WWW: https://cran.r-project.org/web/packages/LearnBayes/


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