evaluate_survdnn: Evaluate a survdnn Model Using Survival Metrics

In survdnn: Deep Neural Networks for Survival Analysis with R 'torch'

Evaluate a survdnn Model Using Survival Metrics

Description

Computes evaluation metrics for a fitted 'survdnn' model at one or more time points. Supported metrics include the concordance index ('"cindex"'), Brier score ('"brier"'), and integrated Brier score ('"ibs"').

Usage

evaluate_survdnn(
  model,
  metrics = c("cindex", "brier", "ibs"),
  times,
  newdata = NULL,
  na_action = c("omit", "fail"),
  verbose = FALSE
)

Arguments

model	A fitted 'survdnn' model object.
metrics	A character vector of metric names: '"cindex"', '"brier"', '"ibs"'.
times	A numeric vector of evaluation time points.
newdata	Optional. A data frame on which to evaluate the model. Defaults to training data.
na_action	Character. How to handle missing values in evaluation data: '"omit"' drops incomplete rows, '"fail"' errors if any NA is present.
verbose	Logical. If TRUE and 'na_action="omit"', prints a message when rows are removed.

Value

A tibble with evaluation results, containing at least 'metric', 'value', and possibly 'time'.

survdnn documentation built on Jan. 8, 2026, 9:07 a.m.