R: Generalized hyper-g/n Prior Distribution for g for mixtures...

hyper.g.n {BAS} | R Documentation

## Generalized hyper-g/n Prior Distribution for g for mixtures of g-priors on Coefficients in BMA Models

### Description

Creates an object representing the hyper-g/n mixture of g-priors on coefficients for BAS. This is a special case of the tCCH prior

### Usage

    hyper.g.n(alpha = 3, n = NULL)

### Arguments

`alpha` | a scalar > 0, recommended 2 < alpha <= 3
`n` | The sample size; if NULL, the value derived from the data in the call to 'bas.glm' will be used.

### Details

Creates a structure used for `bas.glm`. This is a special case of the `tCCH`, where `hyper.g.n(alpha=3, n)` is equivalent to `tCCH(alpha=1, beta=2, s=0, r=1.5, v = 1, theta=1/n)`

### Value

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

### Author(s)

Merlise Clyde

### See Also

`tCCH`, `robust`, `hyper.g`, `CCH` `bas.glm`

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

### Examples

    n <- 500
    hyper.g.n(alpha = 3, n = n)

[Package BAS version 1.6.2 Index]