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tCCH

Generalized tCCH g-Prior Distribution for Coefficients in BMA Models


Description

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

Usage

tCCH(alpha = 1, beta = 2, s = 0, r = 3/2, v = 1, theta = 1)

Arguments

alpha

a scalar > 0, recommended alpha=.5 (betaprime) or 1.

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.

s

a scalar, recommended s=0 a priori

r

r arbitrary; in the hyper-g-n prior sets r = (alpha + 2)

v

0 < v

theta

theta > 1

Details

Creates a structure used for bas.glm.

Value

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

Author(s)

Merlise Clyde

See Also

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

Examples

n <- 500
tCCH(alpha = 1, beta = 2, s = 0, r = 1.5, v = 1, theta = 1 / n)

BAS

Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling

v1.5.5
GPL (>= 3)
Authors
Merlise Clyde [aut, cre, cph] (ORCID=0000-0002-3595-1872), Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb], Don van de Bergh [ctb]
Initial release
2020-1-24

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