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non port: head/math/R-cran-MCMCpack/distinfo
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Number of commits found: 9

Tue, 6 Jun 2017
[ 08:44 tota ] Original commit   Revision:442749
442749 math/R-cran-MCMCpack/Makefile
442749 math/R-cran-MCMCpack/distinfo
- Update to 1.4-0
Wed, 8 Feb 2017
[ 02:40 tota ] Original commit   Revision:433631
433631 math/R-cran-MCMCpack/Makefile
433631 math/R-cran-MCMCpack/distinfo
- Update to 1.3-9 [1]
- Fix minimal version of CRAN_DEPENDS

Submitted by:	wen@ (via private e-mail) [1]
Sat, 3 Dec 2016
[ 15:46 tota ] Original commit   Revision:427622
427622 math/R-cran-MCMCpack/Makefile
427622 math/R-cran-MCMCpack/distinfo
- Update to 1.3-8
Wed, 24 Aug 2016
[ 06:03 tota ] Original commit   Revision:420763
420763 math/R-cran-MCMCpack/Makefile
420763 math/R-cran-MCMCpack/distinfo
- Update to 1.3-7
Thu, 14 Jul 2016
[ 11:37 tota ] Original commit   Revision:418527
418527 math/R-cran-MCMCpack/Makefile
418527 math/R-cran-MCMCpack/distinfo
418527 math/R-cran-MCMCpack/pkg-descr
- Update to 1.3-6
- Update descrption and WWW line in pkg-descr
Fri, 3 May 2013
[ 15:57 tota ] Original commit   Revision:317216
317216 math/R-cran-MCMCpack/Makefile
317216 math/R-cran-MCMCpack/distinfo
- Update to 1.3-3
Sat, 20 Apr 2013
[ 23:10 tota ] Original commit   Revision:316167
316167 math/R-cran-MCMCpack/Makefile
316167 math/R-cran-MCMCpack/distinfo
316167 math/R-cran-MCMCpack/pkg-descr
- Update to 1.3-2
- Update pkg-descr

Feature safe:	yes
Fri, 19 Apr 2013
[ 22:29 tota ] Original commit   Revision:316120
316120 math/R-cran-MCMCpack/Makefile
316120 math/R-cran-MCMCpack/distinfo
- Update to 1.3-1

Feature safe:	yes
Sun, 18 Nov 2012
[ 04:34 tota ] Original commit   Revision:307527
307527 math/Makefile
307527 math/R-cran-MCMCpack
307527 math/R-cran-MCMCpack/Makefile
307527 math/R-cran-MCMCpack/distinfo
307527 math/R-cran-MCMCpack/pkg-descr
- Add a new port: math/R-cran-MCMCpack

  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.

  WWW: http://cran.r-project.org/web/packages/MCMCpack/

Feature safe:	yes

Number of commits found: 9

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