Generate cross-fitted oracle prediction function estimates

Usage

crossfit_oracle_preds(
  time,
  event,
  X,
  folds,
  nuisance_preds,
  pred_generator,
  ...
)

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
folds: n x 1 numeric vector of folds identifiers for cross-fitting
nuisance_preds: Named list of conditional event and censoring survival functions that will be used to estimate the oracle prediction function.
pred_generator: Function to be used to estimate oracle prediction function.
...: Additional arguments to be passed to pred_generator.

Named list of cross-fitted oracle prediction estimates