summarize_cv_survdnn: Summarize Cross-Validation Results from survdnn

In survdnn: Deep Neural Networks for Survival Analysis Using '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

library(survival)
data(veteran)
res <- cv_survdnn(
  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 Aug. 8, 2025, 6:05 p.m.