inclusionProbs

GlmBayesMfpObject

<p>the vector of posterior model probabilities, defaults to
the normalized probabilities in <code>GlmBayesMfpObject</code></p>

postProbs

<p>Compute (model averaged) posterior inclusion probabilites for the uncertain
variables (including FP variables) based on a GlmBayesMfp object.</p>

utilities

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 

inclusionProbs function

Compute posterior inclusion probabilites based on GlmBayesMfp object — inclusionProbs

Compute posterior inclusion probabilites based on GlmBayesMfp object

inclusionProbs: Compute posterior inclusion probabilites based on GlmBayesMfp object

Description

Usage

Arguments

Value