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non port: math/R-cran-mcmc/distinfo

Number of commits found: 5

Saturday, 18 Nov 2023
10:15 TAKATSU Tomonari (tota) search for other commits by this committer
math/R-cran-mcmc: Update to 0.9-8

Reported by:	portscout
commit hash: 0cae13aa59f24a0e4dbcb5983fdc0f23e8327b5c commit hash: 0cae13aa59f24a0e4dbcb5983fdc0f23e8327b5c commit hash: 0cae13aa59f24a0e4dbcb5983fdc0f23e8327b5c commit hash: 0cae13aa59f24a0e4dbcb5983fdc0f23e8327b5c 0cae13a
Wednesday, 1 Apr 2020
03:52 tota search for other commits by this committer
- Update to 0.9-7
Original commitRevision:530192 
Sunday, 7 Jul 2019
02:35 tota search for other commits by this committer
- Update to 0.9-6
Original commitRevision:506096 
Thursday, 4 May 2017
23:54 tota search for other commits by this committer
- Update to 0.9-5
Original commitRevision:440138 
Thursday, 14 Jul 2016
09:26 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/
Original commitRevision:418525 

Number of commits found: 5