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Please give me your LTO-4 or better tape library and I'll put it to good use.
found something from the cache
non port: head/math/R-cran-MCMCpack/distinfo
SVNWeb

Number of commits found: 4

Fri, 3 May 2013
[ 15:57 tota ] Original commit 
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 
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 
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 
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: 4

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