R: Beta-Binomial Prior Distribution for Models

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

`bas.lm`, `Bernoulli`,`uniform`

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

### Examples

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

[Package BAS version 1.5.5 Index]