summarize_cv_survdnn: Summarize Cross-Validation Results from survdnn

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

Summarize Cross-Validation Results from survdnn

Description

Computes mean, standard deviation, and confidence intervals for metrics from cross-validation.

Usage

summarize_cv_survdnn(cv_results, by_time = TRUE, conf_level = 0.95)

Arguments

cv_results	A tibble returned by [cv_survdnn()].
by_time	Logical. Whether to stratify results by 'time' (if present).
conf_level	Confidence level for the intervals (default: 0.95).

Value

A tibble summarizing mean, sd, and confidence bounds per metric (and per time if applicable).

Examples

if (requireNamespace("torch", quietly = TRUE) && torch::torch_is_installed()) {
  veteran <- survival::veteran
  res <- cv_survdnn(
    survival::Surv(time, status) ~ age + karno + celltype,
    data = veteran,
    times = c(30, 90, 180, 270),
    metrics = c("cindex", "ibs"),
    folds = 3,
    .seed = 42,
    hidden = c(16, 8),
    epochs = 5
  )
  summarize_cv_survdnn(res)
}

survdnn documentation built on April 29, 2026, 9:07 a.m.