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non port: science/R-cran-bayesm/distinfo

Number of commits found: 10

Thursday, 28 Sep 2023
09:21 Wen Heping (wen) search for other commits by this committer
science/R-cran-bayesm: Update to 3.1.6
commit hash: 2d7a726377ed51777eb1a95ccd4cd7b194b07cad commit hash: 2d7a726377ed51777eb1a95ccd4cd7b194b07cad commit hash: 2d7a726377ed51777eb1a95ccd4cd7b194b07cad commit hash: 2d7a726377ed51777eb1a95ccd4cd7b194b07cad 2d7a7263
Thursday, 22 Dec 2022
14:09 Wen Heping (wen) search for other commits by this committer
science/R-cran-bayesm: Update to 3.1.5
commit hash: 3f25aeb453448a6fb32f0c47e13d0d7256bc97e0 commit hash: 3f25aeb453448a6fb32f0c47e13d0d7256bc97e0 commit hash: 3f25aeb453448a6fb32f0c47e13d0d7256bc97e0 commit hash: 3f25aeb453448a6fb32f0c47e13d0d7256bc97e0 3f25aeb
Friday, 29 Nov 2019
23:26 wen search for other commits by this committer
- Update to 3.1.4
Original commitRevision:518680 
Sunday, 25 Aug 2019
12:24 wen search for other commits by this committer
- Update to 3.1.3
Original commitRevision:509791 
Saturday, 29 Dec 2018
06:20 wen search for other commits by this committer
- Update to 3.1.1
Original commitRevision:488654 
Tuesday, 8 Aug 2017
12:07 wen search for other commits by this committer
- Update to 3.1.0.1
Original commitRevision:447537 
Tuesday, 27 Jun 2017
07:04 wen search for other commits by this committer
- Update to 3.1.0
Original commitRevision:444442 
Thursday, 26 May 2016
01:29 wen search for other commits by this committer
- Update to 3.0.2
Original commitRevision:415870 
Thursday, 9 Jan 2014
12:36 wen search for other commits by this committer
- Update to 2.2.5
- Add LICENSE
Original commitRevision:339219 
Monday, 7 Mar 2011
12:04 wen search for other commits by this committer
bayesm covers many important models used in marketing and micro-econometrics
applications. The package includes: Bayes Regression (univariate or
multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and
Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP),
Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate
Mixtures of Normals (including clustering), Dirichlet Process Prior Density
Estimation with normal base, Hierarchical Linear Models with normal prior and
covariates, Hierarchical Linear Models with a mixture of normals prior and
covariates, Hierarchical Multinomial Logits with a mixture of normals prior
and covariates, Hierarchical Multinomial Logits with a Dirichlet Process
prior and covariates, Hierarchical Negative Binomial Regression Models,
Bayesian analysis of choice-based conjoint data, Bayesian treatment of linear
instrumental variables models, and Analysis of Multivariate Ordinal survey
data with scale usage heterogeneity (as in Rossi et al, JASA (01)).

WWW: http://www.perossi.org/home/bsm-1
Original commit

Number of commits found: 10