R: Independent Bernoulli Prior Distribution for Models

Bernoulli {BAS} | R Documentation

## Independent Bernoulli Prior Distribution for Models

### Description

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

### Usage

    Bernoulli(probs = 0.5)

### Arguments

`probs` | a scalar or vector of prior inclusion probabilities. If a scalar, the values is replicated for all variables ans a 1 is added for the intercept. BAS checks to see if the length is equal to the dimension of the parameter vector for the full model and adds a 1 to include the intercept.

### Details

The independent Bernoulli prior distribution is a commonly used prior in BMA, with the Uniform distribution a special case with probs=.5. If all indicator variables have a independent Bernoulli distributions with common probability probs, the distribution on model size binomial(p, probs) distribution.

### Value

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

### Author(s)

Merlise Clyde

### See Also

`bas.lm`, `beta.binomial`,`uniform`

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

### Examples

    Bernoulli(.9)

[Package BAS version 1.6.2 Index]