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

Other priors modelpriors:
`Bernoulli.heredity()`

,
`beta.binomial()`

,
`tr.beta.binomial()`

,
`tr.poisson()`

,
`tr.power.prior()`

,
`uniform()`

### Examples

```
Bernoulli(.9)
```

*BAS*version 1.7.1 Index]