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authorTAKATSU Tomonari <tota@FreeBSD.org>2012-12-08 09:00:56 +0000
committerTAKATSU Tomonari <tota@FreeBSD.org>2012-12-08 09:00:56 +0000
commit3956186b995a1332889e26b9779514b770090871 (patch)
treea4e81764769f01face3854b1e291029ac8c9693b /math/R-cran-RHmm
parent0269c31fb79e9077748d6fcd181820aa437aa58f (diff)
downloadports-3956186b995a1332889e26b9779514b770090871.tar.gz
ports-3956186b995a1332889e26b9779514b770090871.zip
- Add a new port: math/R-cran-RHmm
Simulations and estimations of discrete, univariate or multivariate gaussian, mixture of univariate or multivariate gaussian hidden Markov models. WWW: http://r-forge.r-project.org/projects/rhmm/ Feature safe: yes
Notes
Notes: svn path=/head/; revision=308467
Diffstat (limited to 'math/R-cran-RHmm')
-rw-r--r--math/R-cran-RHmm/Makefile18
-rw-r--r--math/R-cran-RHmm/distinfo2
-rw-r--r--math/R-cran-RHmm/pkg-descr5
3 files changed, 25 insertions, 0 deletions
diff --git a/math/R-cran-RHmm/Makefile b/math/R-cran-RHmm/Makefile
new file mode 100644
index 000000000000..2c2796e08c7c
--- /dev/null
+++ b/math/R-cran-RHmm/Makefile
@@ -0,0 +1,18 @@
+# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME= RHmm
+PORTVERSION= 2.0.2
+CATEGORIES= math
+DISTNAME= ${PORTNAME}_${PORTVERSION}
+
+MAINTAINER= tota@FreeBSD.org
+COMMENT= Hidden Markov Models simulations and estimations
+
+LICENSE= GPLv2 GPLv3
+LICENSE_COMB= dual
+
+USE_R_MOD= yes
+R_MOD_AUTOPLIST= yes
+
+.include <bsd.port.mk>
diff --git a/math/R-cran-RHmm/distinfo b/math/R-cran-RHmm/distinfo
new file mode 100644
index 000000000000..e638e0714f3b
--- /dev/null
+++ b/math/R-cran-RHmm/distinfo
@@ -0,0 +1,2 @@
+SHA256 (RHmm_2.0.2.tar.gz) = ded5055e8713ebd0260f199c9a94b88d5b01e3954bcbe75c735cfbf2732a54fe
+SIZE (RHmm_2.0.2.tar.gz) = 127791
diff --git a/math/R-cran-RHmm/pkg-descr b/math/R-cran-RHmm/pkg-descr
new file mode 100644
index 000000000000..caed32a2554c
--- /dev/null
+++ b/math/R-cran-RHmm/pkg-descr
@@ -0,0 +1,5 @@
+Simulations and estimations of discrete, univariate or multivariate
+gaussian, mixture of univariate or multivariate gaussian hidden
+Markov models.
+
+WWW: http://r-forge.r-project.org/projects/rhmm/