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Port details
R-cran-mcmc Markov Chain Monte Carlo
0.9.5 math on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port
Maintainer: tota@FreeBSD.org search for ports maintained by this maintainer
Port Added: 14 Jul 2016 09:26:53
License: MIT
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/
SVNWeb : Homepage : PortsMon
    Pseudo-pkg-plist information, but much better, from make generate-plist
    Expand this list (3 items)
  1. /usr/local/share/licenses/R-cran-mcmc-0.9.5/catalog.mk
  2. /usr/local/share/licenses/R-cran-mcmc-0.9.5/LICENSE
  3. /usr/local/share/licenses/R-cran-mcmc-0.9.5/MIT
  4. Collapse this list.

To install the port: cd /usr/ports/math/R-cran-mcmc/ && make install clean
To add the package: pkg install R-cran-mcmc

PKGNAME: R-cran-mcmc

distinfo:

TIMESTAMP = 1493875002
SHA256 (mcmc_0.9-5.tar.gz) = c676ae0006a52fb527e9dbd3af0684943c3af157d34aaf5b89705d042f5479c4
SIZE (mcmc_0.9-5.tar.gz) = 1558915


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

Build dependencies:
  1. R : math/R
  2. gfortran6 : lang/gcc6
  3. as : devel/binutils
Runtime dependencies:
  1. R : math/R
  2. gfortran6 : lang/gcc6

This port is required by:

for Build for Run * - deleted ports are only shown under the This port is required by section. It was harder to do for the Required section. Perhaps later...
Configuration Options
     No options to configure

USES:
cran:compiles,auto-plist

Master Sites:
  1. http://camoruco.ing.uc.edu.ve/cran/src/contrib/
  2. http://camoruco.ing.uc.edu.ve/cran/src/contrib/Archive/mcmc/
  3. http://cran.csiro.au/src/contrib/
  4. http://cran.csiro.au/src/contrib/Archive/mcmc/
  5. http://cran.utstat.utoronto.ca/src/contrib/
  6. http://cran.utstat.utoronto.ca/src/contrib/Archive/mcmc/
  7. https://cloud.r-project.org/src/contrib/
  8. https://cloud.r-project.org/src/contrib/Archive/mcmc/
  9. https://cran.cnr.berkeley.edu/src/contrib/
  10. https://cran.cnr.berkeley.edu/src/contrib/Archive/mcmc/
  11. https://cran.gis-lab.info/src/contrib/
  12. https://cran.gis-lab.info/src/contrib/Archive/mcmc/
  13. https://cran.ism.ac.jp/src/contrib/
  14. https://cran.ism.ac.jp/src/contrib/Archive/mcmc/
  15. https://cran.ma.imperial.ac.uk/src/contrib/
  16. https://cran.ma.imperial.ac.uk/src/contrib/Archive/mcmc/
  17. https://mirror.las.iastate.edu/CRAN/src/contrib/
  18. https://mirror.las.iastate.edu/CRAN/src/contrib/Archive/mcmc/
  19. https://mirrors.tuna.tsinghua.edu.cn/CRAN/src/contrib/
  20. https://mirrors.tuna.tsinghua.edu.cn/CRAN/src/contrib/Archive/mcmc/
  21. https://stat.ethz.ch/CRAN/src/contrib/
  22. https://stat.ethz.ch/CRAN/src/contrib/Archive/mcmc/

Number of commits found: 2

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
04 May 2017 23:54:48
Original commit files touched by this commit  0.9.5
Revision:440138
tota search for other commits by this committer
- Update to 0.9-5
14 Jul 2016 09:26:42
Original commit files touched by this commit  0.9.4
Revision:418525
tota search for other commits by this committer
- Add new port: math/R-cran-mcmc

  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/

Number of commits found: 2

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