R: Test based Bayes Factors for BMA Models

testBF.prior {BAS} | R Documentation

## Test based Bayes Factors for BMA Models

### Description

Creates an object representing the prior distribution on coefficients for BAS that corresponds to the test-based Bayes Factors.

### Usage

    testBF.prior(g)

### Arguments

`g` | a scalar used in the covariance of Zellner's g-prior, Cov(beta) = sigma^2 g (X'X)^-

### Details

Creates a prior object structure used for BAS in 'bas.glm'.

### Value

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

### Author(s)

Merlise Clyde

### See Also

`g.prior`, `bas.glm`

Other beta priors: `CCH()`, `EB.local()`, `IC.prior()`, `Jeffreys()`, `TG()`, `beta.prime()`, `g.prior()`, `hyper.g.n()`, `hyper.g()`, `intrinsic()`, `robust()`, `tCCH()`

### Examples

    testBF.prior(100)
    library(MASS)
    data(Pima.tr)

    # use g = n
    bas.glm(type ~ .,
      data = Pima.tr, family = binomial(),
      betaprior = testBF.prior(nrow(Pima.tr)),
      modelprior = uniform(), method = "BAS"
    )

[Package BAS version 1.5.5 Index]