# Priors on model space for variable selection problems

### Description

`unifPrior`

implements a uniform prior (equal a priori probability for all
models). `binomPrior`

implements a Binomial prior.
`bbPrior`

implements a Beta-Binomial prior.

### Usage

1 2 3 |

### Arguments

`sel` |
Logical vector indicating which variables are included in the model |

`logscale` |
Set to |

`prob` |
Success probability for the Binomial prior |

`alpha` |
First parameter of the Beta-Binomial prior, which is equivalent
to specifying a Beta(alpha,beta) prior on |

`beta` |
First parameter of the Beta-Binomial prior, which is equivalent
to specifying a Beta(alpha,beta) prior on |

### Value

Prior probability of the specified model

### Author(s)

David Rossell

### Examples

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