R: Generalized g-Prior Distribution for Coefficients in BMA...

CCH {BAS} | R Documentation

## Generalized g-Prior Distribution for Coefficients in BMA Models

### Description

Creates an object representing the CCH mixture of g-priors on coefficients for BAS .

### Usage

    CCH(alpha, beta, s = 0)

### Arguments

`alpha` | a scalar > 0, recommended alpha=.5 (betaprime) or 1 for CCH. The hyper.g(alpha) is equivalent to CCH(alpha -2, 2, 0). Liang et al recommended values in the range 2 < alpha_h <= 4
`beta` | a scalar > 0. The value is not updated by the data; beta should be a function of n for consistency under the null model. The hyper-g corresponds to b = 2
`s` | a scalar, recommended s=0

### Details

Creates a structure used for `bas.glm`.

### Value

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

### Author(s)

Merlise A Clyde

### See Also

`IC.prior`, `bic.prior`, `bas.glm`

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

### Examples

    CCH(alpha = .5, beta = 100, s = 0)

[Package BAS version 1.6.2 Index]