posteriors

GlmBayesMfpObject

<p>type of posterior model probability estimates to be extracted from
<code>GlmBayesMfpObject</code></p>

type

<p>Extract posterior model probability estimates from 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 

posteriors function

Extract posterior model probability estimates from a GlmBayesMfp object — posteriors

Extract posterior model probability estimates from a GlmBayesMfp object

posteriors: Extract posterior model probability estimates from a GlmBayesMfp object

Description

Usage

Arguments

Value