getLogGPrior

the gPrior argument passed to <code><a rd-options="" href="/link/glmBayesMfp?package=glmBfp&version=0.0-51" data-mini-rdoc="glmBfp::glmBayesMfp">glmBayesMfp</a></code>

gPrior

Returns the normalized log of the prior density on g as an R function.
It is checked that the result is valid, that is that exp(f) integrates to 1 over the
positive real line.

internal

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 

getLogGPrior function

the gPrior argument passed to <code><a rd-options='' href='glmBayesMfp'>glmBayesMfp</a></code>

getLogGPrior: Helper function for glmBayesMfp: Returns the normalized log g prior density

Description

Usage

Arguments

Value