a scalar > 0, recommended alpha=.5 (betaprime)
    or 1.  alpha=2 corresponds to the uniform prior on the shrinkage factor.

alpha

Creates an object representing the Truncated Gamma (tCCH) mixture of g-priors on
  coefficients for BAS, where u = 1/(1+g) has a Gamma distribution
  supported on (0, 1].

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.

TG: Generalized g-Prior Distribution for Coefficients in BMA Models

Description

Usage

Arguments

Value

Details

See Also

Examples