predict.TBFcox.BMA

a model fitted with <code><a rd-options="" href="/link/coxTBF?package=glmBfp&version=0.0-60" data-mini-rdoc="glmBfp::coxTBF">coxTBF</a></code>

object

a dataframe with the same variables as the original data used to fit the object

newdata

a vector of times to predict survival probability for

times

Predicts survival probabilities at given times. Compatible with predictSurvProb functions 
required by <code>pec</code> package. Predicts BMA objects.

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 

predict.TBFcox.BMA function

a model fitted with <code><a rd-options='' href='coxTBF'>coxTBF</a></code>

predict.TBFcox.BMA: Prediction methods for CoxTBF objects for BMA models

Description

Usage

Arguments

Value