| beta.binomial {BAS} | R Documentation |
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
Other priors modelpriors:
Bernoulli.heredity(),
Bernoulli(),
tr.beta.binomial(),
tr.poisson(),
tr.power.prior(),
uniform()
Examples
beta.binomial(1, 10) #' @family priors modelpriors