Generate cross-fitted conditional survival predictions

Generate cross-fitted conditional survival predictions

Usage

crossfit_surv_preds(time, event, X, newtimes, folds, pred_generator, ...)

Arguments

time

n x 1 numeric vector of observed follow-up times. If there is censoring, these are the minimum of the event and censoring times.

event

n x 1 numeric vector of status indicators of whether an event was observed.

X

n x p data.frame of observed covariate values

newtimes

Numeric vector of times on which to estimate the conditional survival functions

folds

n x 1 numeric vector of folds identifiers for cross-fitting

pred_generator

Function to be used to estimate conditional survival function.

...

Additional arguments to be passed to pred_generator.

Value

Named list of cross-fitted conditional survival predictions