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Computes concordance index (c-index) and Brier scores at the specified landmark times and prediction horizons.

Usage

performance_metrics(
  x,
  landmarks,
  horizons,
  c_index = TRUE,
  brier = TRUE,
  auc_t = FALSE,
  train = TRUE
)

Arguments

x

An object of class LandmarkAnalysis.

landmarks

A numeric vector of landmark times.

horizons

Vector of prediction horizons up to when the survival submodel is fitted.

c_index

A logical. If TRUE (default), C index is reported.

brier

A logical. If TRUE (default), Brier score is reported.

auc_t

A logical. If TRUE, AUC_t is reported.

train

A logical. If TRUE (default), performance metrics are computed in the training set. If FALSE, they are computed in the test set.

Value

Data frame with performance metrics across the specified landmark times and prediction horizons.