crossfit_oracle_preds: Generate cross-fitted oracle prediction function estimates

In cwolock/survML: Tools for Flexible Survival Analysis Using Machine Learning

Generate cross-fitted oracle prediction function estimates

Description

Generate cross-fitted oracle prediction function estimates

Usage

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

Value

Named list of cross-fitted oracle prediction estimates

cwolock/survML documentation built on April 17, 2025, 5:17 p.m.