predictProb {peperr} | R Documentation |
Generic function for extraction of predicted survival probabilities from a fitted survival model conforming to the interface required by pmpec
.
predictProb(object, response, x, ...)
object |
a fitted survival model. |
response |
Either a survival object (with Surv(time, status) , where time is an n -vector of censored survival times and status an n -vector containing event status, coded with 0 and 1) or a matrix with columns time containing survival times and status containing integers, where 0 indicates censoring, 1 the interesting event and larger numbers other competing risks. In case of binary response, vector with entries 0 and 1. |
x |
n*p matrix of covariates. |
... |
additional arguments, for example model complexity or, in case of survival response, argument times , a vector containing evaluation times. |
pmpec
requires a predictProb.class
function for each model fit of class class
. It extracts the predicted probability of survival from this model.
See existing predictProb
functions, at the time predictProb.CoxBoost
, predictProb.coxph
and predictProb.survfit
.
If desired predictProb
function for class class
is not available in peperr, but implemented in package pec as predictSurvProb.class
, it can easily be transformed as predictProb
method.
Matrix with predicted probabilities for each evaluation time point in times
(columns) and each new observation (rows).