Description

Creates an object representing the prior distribution on models for BAS.

Usage

Arguments

Details

The beta-binomial distribution on model size is obtained by assigning each variable inclusion indicator independent Bernoulli distributions with probability w, and then giving w a beta(alpha,beta) distribution. Marginalizing over w leads to the distribution on model size having the beta-binomial distribution. The default hyperparameters lead to a uniform distribution over model size.

Value

returns an object of class "prior", with the family and hyperparameters.

Author(s)

Merlise Clyde

See Also

bas.lm, Bernoulli,uniform

Other priors modelpriors: Bernoulli.heredity(), Bernoulli(), tr.beta.binomial(), tr.poisson(), tr.power.prior(), uniform()

Examples