beta.binomial: Beta-Binomial Prior Distribution for Models

In BAS: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling

Beta-Binomial Prior Distribution for Models

Description

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

Usage

beta.binomial(alpha = 1, beta = 1)

Arguments

alpha	parameter in the beta prior distribution
beta	parameter in the beta prior distribution

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(), Bernoulli.heredity(), tr.beta.binomial(), tr.poisson(), tr.power.prior(), uniform()

Examples

beta.binomial(1, 10) #' @family priors modelpriors

BAS documentation built on Sept. 30, 2024, 9:19 a.m.