HypergPrior

<p>the hyperparameter which must be larger than 3, and should not be larger than 4
in order not to favour too much shrinkage a priori (default: 4)</p>

<p>Constructor for the hyper-g prior class</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 

HypergPrior function

Constructor for the hyper-g prior class — HypergPrior

Constructor for the hyper-g prior class

HypergPrior: Constructor for the hyper-g prior class

Description

Usage

Arguments

Value