diff options
| author | TAKATSU Tomonari <tota@FreeBSD.org> | 2016-07-14 11:37:37 +0000 |
|---|---|---|
| committer | TAKATSU Tomonari <tota@FreeBSD.org> | 2016-07-14 11:37:37 +0000 |
| commit | a4132187d105e40a3d3efc6ea5946bbab740104d (patch) | |
| tree | 1faf25dc35598fd3c9d25bc79ca07357adbcf579 /math/R-cran-MCMCpack | |
| parent | 44673c8f1486a1ec368033c109bbb333ea21cea2 (diff) | |
Notes
Diffstat (limited to 'math/R-cran-MCMCpack')
| -rw-r--r-- | math/R-cran-MCMCpack/Makefile | 7 | ||||
| -rw-r--r-- | math/R-cran-MCMCpack/distinfo | 5 | ||||
| -rw-r--r-- | math/R-cran-MCMCpack/pkg-descr | 11 |
3 files changed, 12 insertions, 11 deletions
diff --git a/math/R-cran-MCMCpack/Makefile b/math/R-cran-MCMCpack/Makefile index 6bc975bc9795..466adf1c8ef3 100644 --- a/math/R-cran-MCMCpack/Makefile +++ b/math/R-cran-MCMCpack/Makefile @@ -2,8 +2,7 @@ # $FreeBSD$ PORTNAME= MCMCpack -DISTVERSION= 1.3-3 -PORTREVISION= 5 +DISTVERSION= 1.3-6 CATEGORIES= math DISTNAME= ${PORTNAME}_${DISTVERSION} @@ -12,7 +11,9 @@ COMMENT= Markov chain Monte Carlo Package LICENSE= GPLv3 -RUN_DEPENDS= R-cran-coda>0.11.3:math/R-cran-coda +RUN_DEPENDS= R-cran-coda>0.11.3:math/R-cran-coda \ + R-cran-mcmc>0:math/R-cran-mcmc \ + R-cran-quantreg>0:math/R-cran-quantreg USES= cran:auto-plist,compiles diff --git a/math/R-cran-MCMCpack/distinfo b/math/R-cran-MCMCpack/distinfo index 10a48f7ddd6b..1a93c6de9546 100644 --- a/math/R-cran-MCMCpack/distinfo +++ b/math/R-cran-MCMCpack/distinfo @@ -1,2 +1,3 @@ -SHA256 (MCMCpack_1.3-3.tar.gz) = e6e8f790ac109cb62ea78645dff199f25c5a40a5eaa51e1b9f4e5c7c08183268 -SIZE (MCMCpack_1.3-3.tar.gz) = 509352 +TIMESTAMP = 1468488779 +SHA256 (MCMCpack_1.3-6.tar.gz) = d28a7192ace6a6e3c5ccd88dcc14eae4bbaed3abc1afd851e70eab1bdff6de03 +SIZE (MCMCpack_1.3-6.tar.gz) = 544105 diff --git a/math/R-cran-MCMCpack/pkg-descr b/math/R-cran-MCMCpack/pkg-descr index 3caf033dd5e0..cb5942e48cc3 100644 --- a/math/R-cran-MCMCpack/pkg-descr +++ b/math/R-cran-MCMCpack/pkg-descr @@ -2,10 +2,9 @@ This package contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return coda mcmc objects that can -then be summarized using the coda package. MCMCpack also contains -some useful utility functions, including some additional density -functions and pseudo-random number generators for statistical -distributions, a general purpose Metropolis sampling algorithm, and -tools for visualization. +then be summarized using the coda package. Some useful utility +functions such as density functions, pseudo-random number generators +for statistical distributions, a general purpose Metropolis sampling +algorithm, and tools for visualization are provided. -WWW: http://cran.r-project.org/web/packages/MCMCpack/ +WWW: https://cran.r-project.org/web/packages/MCMCpack/ |