BAS (1.5.3)
Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling.
https://www.rproject.org
https://github.com/merliseclyde/BAS
http://cran.rproject.org/web/packages/BAS
Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's gprior or mixtures of gpriors corresponding to the ZellnerSiow Cauchy Priors or the mixture of gpriors from Liang et al (2008) for linear models or mixtures of gpriors in GLMs of Li and Clyde (2018) . Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using Sampling w/out Replacement or an efficient MCMC algorithm samples models using the BAS tree structure as an efficient hash table. Uniform priors over all models or betabinomial prior distributions on model size are allowed, and for large p truncated priors on the model space may be used. The user may force variables to always be included. Details behind the sampling algorithm are provided in Clyde, Ghosh and Littman (2010) . This material is based upon work supported by the National Science Foundation under Grant DMS1106891. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Maintainer:
Merlise Clyde
Author(s): Merlise Clyde [aut, cre, cph] (<https://orcid.org/5469>), Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb]
License: GPL (>= 3)
Uses: MASS, testthat, GGally, roxygen2, knitr, dplyr, rmarkdown, covr, glmbb, pkgdown
Released 8 months ago.
31 previous versions
 BAS_1.5.2. Released 8 months ago.
 BAS_1.5.1. Released about 1 year ago.
 BAS_1.5.0. Released about 1 year ago.
 BAS_1.4.9. Released about 1 year ago.
 BAS_1.4.8. Released over 1 year ago.
 BAS_1.4.7. Released over 1 year ago.
 BAS_1.4.6. Released about 2 years ago.
 BAS_1.4.5. Released about 2 years ago.
 BAS_1.4.4. Released over 2 years ago.
 BAS_1.4.3. Released over 2 years ago.
 BAS_1.4.2. Released over 2 years ago.
 BAS_1.4.1. Released over 2 years ago.
 BAS_1.4.0. Released almost 3 years ago.
 BAS_1.3.0. Released almost 3 years ago.
 BAS_1.2.2. Released almost 3 years ago.
 BAS_1.2.1. Released about 3 years ago.
 BAS_1.2.0. Released about 3 years ago.
 BAS_1.1.0. Released about 3 years ago.
 BAS_1.0.9. Released over 3 years ago.
 BAS_1.0.8. Released over 3 years ago.
 BAS_1.0.6. Released over 3 years ago.
 BAS_1.0.5. Released almost 4 years ago.
 BAS_1.0. Released about 7 years ago.
 BAS_0.92. Released over 8 years ago.
 BAS_0.91. Released almost 9 years ago.
 BAS_0.90. Released almost 9 years ago.
 BAS_0.85. Released about 9 years ago.
 BAS_0.80. Released about 9 years ago.
 BAS_0.45. Released over 9 years ago.
 BAS_0.4. Released over 9 years ago.
 BAS_0.3. Released about 10 years ago.
Ratings
Overall: 

Documentation: 

Log in to vote.
Reviews
No one has written a review of BAS yet. Want to be the first? Write one now.
Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, DPpackage, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, MasterBayes, R2WinBUGS, RJaCGH, Runuran, arm, bayesSurv, bayesm … (20 best matches, based on common tags.)
Search for BAS on google, google scholar, rhelp, rdevel.
Visit BAS on R Graphical Manual.