crossfit_surv_preds function

Generate cross-fitted conditional survival predictions

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.

Returns

Named list of cross-fitted conditional survival predictions