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[pkgsrc/trunk]: pkgsrc/math/R-statmod Update to 1.4.30
details: https://anonhg.NetBSD.org/pkgsrc/rev/eb943a83080d
branches: trunk
changeset: 372300:eb943a83080d
user: wen <wen%pkgsrc.org@localhost>
date: Sat Dec 02 12:00:34 2017 +0000
description:
Update to 1.4.30
Upstream changes:
16 June 2017: statmod 1.4.30
- Bug fix to qinvgauss(). In some case the gamma approximation used
for small right tail probabilities was taking the initial value
outside the domain of convergence.
27 February 2017: statmod 1.4.29
- rinvgauss() now accurately handles large or infinite values for the
mean or dispersion.
26 February 2017: statmod 1.4.28
- R_registerRoutines is now used to register the Fortran subroutine
gaussq2.
- pinvgauss() and qinvgauss() now use a gamma approximation when the
coefficient of variation is very small.
17 December 2016: statmod 1.4.27
- qinvgauss() now supports mean=Inf.
diffstat:
math/R-statmod/Makefile | 4 ++--
math/R-statmod/distinfo | 10 +++++-----
2 files changed, 7 insertions(+), 7 deletions(-)
diffs (33 lines):
diff -r d3134ace8d3f -r eb943a83080d math/R-statmod/Makefile
--- a/math/R-statmod/Makefile Sat Dec 02 11:54:26 2017 +0000
+++ b/math/R-statmod/Makefile Sat Dec 02 12:00:34 2017 +0000
@@ -1,4 +1,4 @@
-# $NetBSD: Makefile,v 1.13 2016/11/06 02:54:08 wen Exp $
+# $NetBSD: Makefile,v 1.14 2017/12/02 12:00:34 wen Exp $
CATEGORIES= math
MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/}
@@ -9,7 +9,7 @@
LICENSE= gnu-lgpl-v2 OR gnu-lgpl-v3
R_PKGNAME= statmod
-R_PKGVER= 1.4.26
+R_PKGVER= 1.4.30
USE_LANGUAGES+= c fortran
diff -r d3134ace8d3f -r eb943a83080d math/R-statmod/distinfo
--- a/math/R-statmod/distinfo Sat Dec 02 11:54:26 2017 +0000
+++ b/math/R-statmod/distinfo Sat Dec 02 12:00:34 2017 +0000
@@ -1,6 +1,6 @@
-$NetBSD: distinfo,v 1.12 2016/11/06 02:54:08 wen Exp $
+$NetBSD: distinfo,v 1.13 2017/12/02 12:00:34 wen Exp $
-SHA1 (R/statmod_1.4.26.tar.gz) = dcdbcb65ccd0c92d390cfa08f2ca63d3b468868e
-RMD160 (R/statmod_1.4.26.tar.gz) = 2b6de176f7e5f6d487c1daeed4ed5218978cd865
-SHA512 (R/statmod_1.4.26.tar.gz) = dfe9beda773fb4e0466cba1d4789d9183cca0c800e11648e89d5b224b467f30b0743bd4727c45189edb9055e155a258ab336ba45fbab69a0a866a0b58661a5b1
-Size (R/statmod_1.4.26.tar.gz) = 55724 bytes
+SHA1 (R/statmod_1.4.30.tar.gz) = fbfb0de85ff3e79c5c860145ab2996168a204960
+RMD160 (R/statmod_1.4.30.tar.gz) = ff1044a282ca019743312bb0f92227a76aee3965
+SHA512 (R/statmod_1.4.30.tar.gz) = 5a230fa1ebc73c163c3020d1110f1f343a76756865e261bb3db2a451e8ba4d669d2c96f9f66929f6fde80cc27291e5f2fd951c80ac79c2e04a9f846248c5ef51
+Size (R/statmod_1.4.30.tar.gz) = 57309 bytes
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