constructNewdataMatrix

a valid <code><a rd-options="" href="/link/GlmBayesMfp?package=glmBfp&version=0.0-60" data-mini-rdoc="glmBfp::GlmBayesMfp">GlmBayesMfp</a></code>-Object

object

the new covariate data as a data.frame (with the same
covariate names as in the call to <code><a rd-options="" href="/link/glmBayesMfp?package=glmBfp&version=0.0-60" data-mini-rdoc="glmBfp::glmBayesMfp">glmBayesMfp</a></code>)

newdata

This is an internal function, which constructs a model matrix for new covariate
data, based on the formula and scaling info in an existing GlmBayesMfp object.
The matrix can then be passed to prediction functions.

internal

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 

constructNewdataMatrix function

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

the new covariate data as a data.frame (with the same
covariate names as in the call to <code><a rd-options='' href='glmBayesMfp'>glmBayesMfp</a></code>)

constructNewdataMatrix: Construct the covariates matrix for new data based on an existing GlmBayesMfp object

Description

Usage

Arguments

Value