Augment data with spbp model information — augment.spbp • spsurv

Add fitted values, residuals, and optional survival predictions to the training (or supplied) data.

Usage

# S3 method for class 'spbp'
augment(
  x,
  data = NULL,
  eval_time = NULL,
  type = c("martingale", "deviance", "cox-snell", "coxsnell"),
  ...
)

Arguments

x: A fitted "spbp" object.
data: Optional data frame; defaults to the training data when available.
eval_time: Optional numeric vector of times for nested survival predictions (same structure as predict(x, type = "survival")).
type: Residual type passed to residuals.spbp.
...: Not used.

Value

A data.frame with original rows plus .residual and, when eval_time is set, a list-column .pred.