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Author	SHA1	Message	Date
Gerald Pfeifer	c2a92a1aea	Bump PORTREVISIONs of all users of math/mpc that we just updated to version 1.1.0 (via revision 464079).	2018-03-10 17:46:04 +00:00
TAKATSU Tomonari	8ca4e272f2	- Update to 0.9-5	2017-05-04 23:54:48 +00:00
TAKATSU Tomonari	a9e57d0160	- 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/	2016-07-14 09:26:42 +00:00

Author

SHA1

Message

Date

Gerald Pfeifer

c2a92a1aea

Bump PORTREVISIONs of all users of math/mpc that we just updated to

version 1.1.0 (via revision 464079).

2018-03-10 17:46:04 +00:00

TAKATSU Tomonari

8ca4e272f2

- Update to 0.9-5

2017-05-04 23:54:48 +00:00

TAKATSU Tomonari

a9e57d0160

- 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/

2016-07-14 09:26:42 +00:00

3 commits