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| author | tota <tota@FreeBSD.org> | 2012-11-23 10:32:01 +0800 |
|---|---|---|
| committer | tota <tota@FreeBSD.org> | 2012-11-23 10:32:01 +0800 |
| commit | b4debb75999c18a29c68730ed19e002716a920d2 (patch) | |
| tree | f4936a27c663c023130e3cecf740a09d37f40095 | |
| parent | 8a7473e1d75bb4c6c919ebc08d16d1fad20b36bf (diff) | |
| download | freebsd-ports-gnome-b4debb75999c18a29c68730ed19e002716a920d2.tar.gz freebsd-ports-gnome-b4debb75999c18a29c68730ed19e002716a920d2.tar.zst freebsd-ports-gnome-b4debb75999c18a29c68730ed19e002716a920d2.zip | |
- Add a new port: math/R-cran-LearnBayes
LearnBayes contains a collection of functions helpful in learning
the basic tenets of Bayesian statistical inference. It contains
functions for summarizing basic one and two parameter posterior
distributions and predictive distributions. It contains MCMC
algorithms for summarizing posterior distributions defined by the
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/
Feature safe: yes
| -rw-r--r-- | math/Makefile | 1 | ||||
| -rw-r--r-- | math/R-cran-LearnBayes/Makefile | 18 | ||||
| -rw-r--r-- | math/R-cran-LearnBayes/distinfo | 2 | ||||
| -rw-r--r-- | math/R-cran-LearnBayes/pkg-descr | 9 |
4 files changed, 30 insertions, 0 deletions
diff --git a/math/Makefile b/math/Makefile index 33f890738f1c..7a48383b1312 100644 --- a/math/Makefile +++ b/math/Makefile @@ -8,6 +8,7 @@ SUBDIR += R SUBDIR += R-cran-Formula SUBDIR += R-cran-KFAS + SUBDIR += R-cran-LearnBayes SUBDIR += R-cran-MCMCpack SUBDIR += R-cran-RSvgDevice SUBDIR += R-cran-SuppDists diff --git a/math/R-cran-LearnBayes/Makefile b/math/R-cran-LearnBayes/Makefile new file mode 100644 index 000000000000..564b96111134 --- /dev/null +++ b/math/R-cran-LearnBayes/Makefile @@ -0,0 +1,18 @@ +# Created by: TAKATSU Tomonari <tota@FreeBSD.org> +# $FreeBSD$ + +PORTNAME= LearnBayes +PORTVERSION= 2.12 +CATEGORIES= math +DISTNAME= ${PORTNAME}_${PORTVERSION} + +MAINTAINER= tota@FreeBSD.org +COMMENT= Functions for Learning Bayesian Inference + +LICENSE= GPLv2 GPLv3 +LICENSE_COMB= dual + +USE_R_MOD= yes +R_MOD_AUTOPLIST= yes + +.include <bsd.port.mk> diff --git a/math/R-cran-LearnBayes/distinfo b/math/R-cran-LearnBayes/distinfo new file mode 100644 index 000000000000..8ab74526ac55 --- /dev/null +++ b/math/R-cran-LearnBayes/distinfo @@ -0,0 +1,2 @@ +SHA256 (LearnBayes_2.12.tar.gz) = 5559d5fcceda7b695a62b88b8288a15367ea176b6d8769a8f811f0e9b8a3d37a +SIZE (LearnBayes_2.12.tar.gz) = 88819 diff --git a/math/R-cran-LearnBayes/pkg-descr b/math/R-cran-LearnBayes/pkg-descr new file mode 100644 index 000000000000..081ac3dfa4a6 --- /dev/null +++ b/math/R-cran-LearnBayes/pkg-descr @@ -0,0 +1,9 @@ +LearnBayes contains a collection of functions helpful in learning +the basic tenets of Bayesian statistical inference. It contains +functions for summarizing basic one and two parameter posterior +distributions and predictive distributions. It contains MCMC +algorithms for summarizing posterior distributions defined by the +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/ |