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.diff -r1.13 -r1.14 pkgsrc/math/R-statmod/Makefile
(wen)
@@ -1,17 +1,17 @@ | @@ -1,17 +1,17 @@ | |||
1 | # $NetBSD: Makefile,v 1.13 2016/11/06 02:54:08 wen Exp $ | 1 | # $NetBSD: Makefile,v 1.14 2017/12/02 12:00:34 wen Exp $ | |
2 | 2 | |||
3 | CATEGORIES= math | 3 | CATEGORIES= math | |
4 | MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/} | 4 | MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/} | |
5 | 5 | |||
6 | MAINTAINER= pkgsrc-users@NetBSD.org | 6 | MAINTAINER= pkgsrc-users@NetBSD.org | |
7 | HOMEPAGE= ${R_HOMEPAGE_BASE}/statmod/ | 7 | HOMEPAGE= ${R_HOMEPAGE_BASE}/statmod/ | |
8 | COMMENT= Miscellaneous biostatistical modeling functions | 8 | COMMENT= Miscellaneous biostatistical modeling functions | |
9 | LICENSE= gnu-lgpl-v2 OR gnu-lgpl-v3 | 9 | LICENSE= gnu-lgpl-v2 OR gnu-lgpl-v3 | |
10 | 10 | |||
11 | R_PKGNAME= statmod | 11 | R_PKGNAME= statmod | |
12 | R_PKGVER= 1.4.26 | 12 | R_PKGVER= 1.4.30 | |
13 | 13 | |||
14 | USE_LANGUAGES+= c fortran | 14 | USE_LANGUAGES+= c fortran | |
15 | 15 | |||
16 | .include "../../math/R/Makefile.extension" | 16 | .include "../../math/R/Makefile.extension" | |
17 | .include "../../mk/bsd.pkg.mk" | 17 | .include "../../mk/bsd.pkg.mk" |
@@ -1,6 +1,6 @@ | @@ -1,6 +1,6 @@ | |||
1 | $NetBSD: distinfo,v 1.12 2016/11/06 02:54:08 wen Exp $ | 1 | $NetBSD: distinfo,v 1.13 2017/12/02 12:00:34 wen Exp $ | |
2 | 2 | |||
3 | SHA1 (R/statmod_1.4.26.tar.gz) = dcdbcb65ccd0c92d390cfa08f2ca63d3b468868e | 3 | SHA1 (R/statmod_1.4.30.tar.gz) = fbfb0de85ff3e79c5c860145ab2996168a204960 | |
4 | RMD160 (R/statmod_1.4.26.tar.gz) = 2b6de176f7e5f6d487c1daeed4ed5218978cd865 | 4 | RMD160 (R/statmod_1.4.30.tar.gz) = ff1044a282ca019743312bb0f92227a76aee3965 | |
5 | SHA512 (R/statmod_1.4.26.tar.gz) = dfe9beda773fb4e0466cba1d4789d9183cca0c800e11648e89d5b224b467f30b0743bd4727c45189edb9055e155a258ab336ba45fbab69a0a866a0b58661a5b1 | 5 | SHA512 (R/statmod_1.4.30.tar.gz) = 5a230fa1ebc73c163c3020d1110f1f343a76756865e261bb3db2a451e8ba4d669d2c96f9f66929f6fde80cc27291e5f2fd951c80ac79c2e04a9f846248c5ef51 | |
6 | Size (R/statmod_1.4.26.tar.gz) = 55724 bytes | 6 | Size (R/statmod_1.4.30.tar.gz) = 57309 bytes |