BAS (1.0)
Bayesian Model Averaging using Bayesian Adaptive Sampling.
http://www.r-project.org
http://www.stat.duke.edu/~clyde/BAS
http://cran.r-project.org/web/packages/BAS
Package for Bayesian Model Averaging in linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the Liang et al hyper-g priors (JASA 2008). Other model selection criterian include AIC and BIC. Sampling probabilities may be updated based on the sampled models. Allows uniform or beta-binomial prior distributions on models.
Maintainer:
Merlise Clyde
Author(s): Merlise Clyde <clyde@stat.duke.edu> with contributions from Michael Littman amd Joyee Ghosh
License: GPL (>= 2)
Released 12 months ago.
8 previous versions
- BAS_0.92. Released over 2 years ago.
- BAS_0.91. Released over 2 years ago.
- BAS_0.90. Released almost 3 years ago.
- BAS_0.85. Released about 3 years ago.
- BAS_0.80. Released about 3 years ago.
- BAS_0.45. Released over 3 years ago.
- BAS_0.4. Released over 3 years ago.
- BAS_0.3. Released almost 4 years ago.
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