402b FreshPorts -- math/R-cran-MCMCpack
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Port details
R-cran-MCMCpack 1.3.3 math on this many watch lists=0 search for ports that depend on this port
Markov chain Monte Carlo Package
Maintained by: tota@FreeBSD.org search for ports maintained by this maintainer
Port Added: 18 Nov 2012 04:35:07
License: GPLv3


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/
SVNWeb : Main Web Site : Distfiles Availability : PortsMon

NOTE: FreshPorts displays only required dependencies information. Optional dependencies are not covered.

Required To Build:
  1. math/R
Required To Run:
  1. math/R-cran-coda
  2. math/R
There are no ports dependent upon this port

To install the port: cd /usr/ports/math/R-cran-MCMCpack/ && make install clean
To add the package: pkg_add -r R-cran-MCMCpack


Configuration Options
     No options to configure

Master Sites:
  1. ftp://ftp.FreeBSD.org/pub/FreeBSD/ports/distfiles/
  2. http://cran.cnr.berkeley.edu/src/contrib/
  3. http://cran.cnr.berkeley.edu/src/contrib/Archive/MCMCpack/
  4. http://cran.md.tsukuba.ac.jp/src/contrib/
  5. http://cran.md.tsukuba.ac.jp/src/contrib/Archive/MCMCpack/
  6. http://cran.ms.unimelb.edu.au/src/contrib/
  7. http://cran.ms.unimelb.edu.au/src/contrib/Archive/MCMCpack/
  8. http://cran.rakanu.com/src/contrib/
  9. http://cran.rakanu.com/src/contrib/Archive/MCMCpack/
  10. http://cran.stat.unipd.it/src/contrib/
  11. http://cran.stat.unipd.it/src/contrib/Archive/MCMCpack/
  12. http://cran.univ-lyon1.fr/src/contrib/
  13. http://cran.univ-lyon1.fr/src/contrib/Archive/MCMCpack/
  14. http://ftp.ctex.org/mirrors/CRAN/src/contrib/
  15. http://ftp.ctex.org/mirrors/CRAN/src/contrib/Archive/MCMCpack/
  16. http://ftp5.gwdg.de/pub/misc/cran/src/contrib/
  17. http://ftp5.gwdg.de/pub/misc/cran/src/contrib/Archive/MCMCpack/
  18. http://mirror.its.dal.ca/cran/src/contrib/
  19. http://mirror.its.dal.ca/cran/src/contrib/Archive/MCMCpack/
  20. http://mirrors.dotsrc.org/cran/src/contrib/
  21. http://mirrors.dotsrc.org/cran/src/contrib/Archive/MCMCpack/
  22. http://mirrors.ibiblio.org/pub/mirrors/CRAN/src/contrib/
  23. http://mirrors.ibiblio.org/pub/mirrors/CRAN/src/contrib/Archive/MCMCpack/

Number of commits found: 6

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
03 May 2013 15:57:58
Original commit files touched by this commit  1.3.3
tota search for other commits by this committer
- Update to 1.3-3
20 Apr 2013 23:10:26
Original commit files touched by this commit  1.3.2
tota search for other commits by this committer
- Update to 1.3-2
- Update pkg-descr

Feature safe:	yes
19 Apr 2013 22:29:14
Original commit files touched by this commit  1.3.1
tota search for other commits by this committer
- Update to 1.3-1

Feature safe:	yes
07 Mar 2013 04:21:35
Original commit files touched by this commit  1.2.4_2
bf search for other commits by this committer
update math/R to 2.15.3, and adjust dependent ports
04 Jan 2013 17:51:39
Original commit files touched by this commit  1.2.4_1
bf search for other commits by this committer
update the R base ports to 2.15.2 and adjust dependent ports

Reviewed by:	thierry, tota, wen
18 Nov 2012 04:34:54
Original commit files touched by this commit  1.2.4
tota search for other commits by this committer
- 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: 6

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