CustomGPrior-class

<p>This class wraps around a custom log prior density for the covariance factor g.</p>

classes

Implements the Bayesian paradigm
for fractional polynomials in generalized linear
models, described by Held, Gravestock, Sabanes Bove (2015) <doi:10.1214/14-STS510>.
See package 'bfp' for the treatment of normal
models.

Isaac Gravestock

glmBfp

Bayesian Fractional Polynomials for GLMs

Daniel Sabanes Bove

David Maisonave

Terry Therneau

R Core Team 

CustomGPrior-class function

The custom g-prior class — CustomGPrior-class

The custom g-prior class

CustomGPrior-class: The custom g-prior class

Description

Arguments

See Also