print.GlmBayesMfp

<p>valid <code><a rd-options="" href="/link/GlmBayesMfp?package=glmBfp&version=0.0-51" data-mini-rdoc="glmBfp::GlmBayesMfp">GlmBayesMfp</a></code> object</p>

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methods

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 

print.GlmBayesMfp function

<p>valid <code><a rd-options='' href='GlmBayesMfp'>GlmBayesMfp</a></code> object</p>

Print a GlmBayesMfp object. — print.GlmBayesMfp

Print a GlmBayesMfp object.

print.GlmBayesMfp: Print a GlmBayesMfp object.

Description

Usage

Arguments

Value

See Also