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Simulates continuous distributions of random vectors using Markov
  chain Monte Carlo (MCMC). Users specify the distribution by an R
  function that evaluates the log unnormalized density. Algorithms
  are random walk Metropolis algorithm (function metrop), simulated
  tempering (function temper), and morphometric random walk Metropolis
  (Johnson and Geyer, Annals of Statistics, 2012, function morph.metrop),
  which achieves geometric ergodicity by change of variable.

  WWW: https://cran.r-project.org/web/packages/mcmc/
This commit is contained in:
TAKATSU Tomonari 2016-07-14 09:26:42 +00:00
parent 37faed2b8f
commit a9e57d0160
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=418525
4 changed files with 29 additions and 0 deletions
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1
math/Makefile
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@ -46,6 +46,7 @@
SUBDIR += R-cran-lazyeval
SUBDIR += R-cran-lme4
SUBDIR += R-cran-maxLik
SUBDIR += R-cran-mcmc
SUBDIR += R-cran-memisc
SUBDIR += R-cran-minqa
SUBDIR += R-cran-miscTools

16
math/R-cran-mcmc/Makefile Normal file
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@ -0,0 +1,16 @@
# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$
PORTNAME= mcmc
DISTVERSION= 0.9-4
CATEGORIES= math
DISTNAME= ${PORTNAME}_${DISTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Markov Chain Monte Carlo
LICENSE= MIT
USES= cran:compiles,auto-plist
.include <bsd.port.mk>

3
math/R-cran-mcmc/distinfo Normal file
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@ -0,0 +1,3 @@
TIMESTAMP = 1468312445
SHA256 (mcmc_0.9-4.tar.gz) = ca4e234d5c5240c5fb0da9dc7dade49f10c743c9681a05feb711b9468c0448f3
SIZE (mcmc_0.9-4.tar.gz) = 1921404

9
math/R-cran-mcmc/pkg-descr Normal file
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@ -0,0 +1,9 @@
Simulates continuous distributions of random vectors using Markov
chain Monte Carlo (MCMC). Users specify the distribution by an R
function that evaluates the log unnormalized density. Algorithms
are random walk Metropolis algorithm (function metrop), simulated
tempering (function temper), and morphometric random walk Metropolis
(Johnson and Geyer, Annals of Statistics, 2012, function morph.metrop),
which achieves geometric ergodicity by change of variable.
WWW: https://cran.r-project.org/web/packages/mcmc/