Package: BAS
Version: 1.2.1
Date: 2016-04-11
Title: Bayesian Model Averaging using Bayesian Adaptive Sampling
Authors@R: c(person("Merlise", "Clyde", email="clyde@stat.duke.edu",
	   		       role=c("aut","cre", "cph")),
           person("Michael", "Littman", role="ctb"),
	   person("Quanli", "Wang", role="ctb"),
	   person("Joyee", "Ghosh", role="ctb"),
	   person("Yingbo", "Li", role="ctb"))
Depends: R (>= 3.0), stats, graphics
Suggests: MASS
Description: Package for Bayesian 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 g-prior or mixtures of g-priors
	     corresponding to the Zellner-Siow Cauchy Priors or the
	     mixture of g-priors from 
	     Liang et al (2008)
	     <http://dx.doi.org/10.1198/016214507000001337>
	     for linear models or mixtures of
	     g-priors in GLMs of Li and Clyde (2015)
	     <http://arxiv.org/abs/1503.06913 >. Other model
	     selection criteria include AIC and BIC. Sampling
	     probabilities may be updated based on the sampled models
	     using Sampling w/out Replacement or an MCMC algorithm
	     samples models using the BAS tree structure as an efficient
	     hash table. Allows uniform or beta-binomial prior distributions on
	     models and for large p truncated priors on the model
	     space.  The user may force variables to always be included.
License: GPL (>= 3)
URL: http://www.r-project.org, http://github.com/merliseclyde/BAS
Repository: CRAN
NeedsCompilation: yes
Packaged: 2016-04-14 20:06:55 UTC; mclyde
Author: Merlise Clyde [aut, cre, cph],
  Michael Littman [ctb],
  Quanli Wang [ctb],
  Joyee Ghosh [ctb],
  Yingbo Li [ctb]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>
Date/Publication: 2016-04-16 04:27:26
