| non port: math/R-cran-MCMCpack/distinfo |
Number of commits found: 23 |
|
Saturday, 20 Jan 2024
|
02:34 TAKATSU Tomonari (tota) 
math/R-cran-MCMCpack: Update to 1.7-0
Reported by: portscou
    18ca0cf |
|
Saturday, 16 Apr 2022
|
11:42 TAKATSU Tomonari (tota)
math/R-cran-MCMCpack: Update to 1.6-3
1a4b99b |
|
Friday, 1 Apr 2022
|
11:18 TAKATSU Tomonari (tota)
math/R-cran-MCMCpack: Update to 1.6-2
f606d82 |
|
Sunday, 6 Mar 2022
|
11:14 TAKATSU Tomonari (tota)
math/R-cran-MCMCpack: Update to 1.6-1
7495c85 |
|
Sunday, 10 Oct 2021
|
09:28 TAKATSU Tomonari (tota)
math/R-cran-MCMCpack: Update to 1.6-0
f3c74f9 |
|
Friday, 22 Jan 2021
|
12:43 tota
- Update to 1.5-0
  |
|
Monday, 10 Aug 2020
|
05:16 tota
- Update to 1.4-9
|
|
Friday, 5 Jun 2020
|
07:42 tota
- Update to 1.4-8
|
|
Monday, 11 May 2020
|
21:27 tota
- Update to 1.4-7
|
|
Sunday, 16 Feb 2020
|
04:39 tota
- Update to 1.4-6
|
|
Tuesday, 3 Dec 2019
|
15:18 tota
- Update to 1.4-5
|
|
Tuesday, 18 Sep 2018
|
05:34 tota
- Update to 1.4-4
|
|
Thursday, 17 May 2018
|
05:20 tota
- Update to 1.4-3
|
|
Wednesday, 14 Mar 2018
|
09:59 tota
- Update to 1.4-2
|
|
Tuesday, 6 Jun 2017
|
08:44 tota
- Update to 1.4-0
|
|
Wednesday, 8 Feb 2017
|
02:40 tota
- Update to 1.3-9 [1]
- Fix minimal version of CRAN_DEPENDS
Submitted by: wen@ (via private e-mail) [1]
|
|
Saturday, 3 Dec 2016
|
15:46 tota
- Update to 1.3-8
|
|
Wednesday, 24 Aug 2016
|
06:03 tota
- Update to 1.3-7
|
|
Thursday, 14 Jul 2016
|
11:37 tota
- Update to 1.3-6
- Update descrption and WWW line in pkg-descr
|
|
Friday, 3 May 2013
|
15:57 tota
- Update to 1.3-3
|
|
Saturday, 20 Apr 2013
|
23:10 tota
- Update to 1.3-2
- Update pkg-descr
Feature safe: yes
|
|
Friday, 19 Apr 2013
|
22:29 tota
- Update to 1.3-1
Feature safe: yes
|
|
Sunday, 18 Nov 2012
|
04:34 tota
- 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: 23 |
As an Amazon Associate I earn from qualifying purchases.