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Last data update: 2014.03.03

R: Priors on model space for variable selection problems

bbPrior

R Documentation

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

unifPrior(sel, logscale = TRUE)
binomPrior(sel, prob = 0.5, logscale = TRUE)
bbPrior(sel, alpha = 1, beta = 1, logscale = TRUE)

Arguments

`sel`	Logical vector indicating which variables are included in the model
`logscale`	Set to `TRUE` to return the log-prior probability.
`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 `prob`.
`beta`	First parameter of the Beta-Binomial prior, which is equivalent to specifying a Beta(alpha,beta) prior on `prob`.

Value

Prior probability of the specified model

Author(s)

David Rossell

Examples

library(mombf)
sel <- c(TRUE,TRUE,FALSE,FALSE)
unifPrior(sel,logscale=FALSE)
binomPrior(sel,prob=.5,logscale=FALSE)
bbPrior(sel,alpha=1,beta=1,logscale=FALSE)