survdnn (version 0.6.0)

summary.survdnn: Summarize a Deep Survival Neural Network Model

Description

Provides a structured summary of a fitted `survdnn` model, including the network architecture, training configuration, and data characteristics. The summary is printed automatically with a styled header and sectioned output using {cli} and base formatting. The object is returned invisibly.

Usage

# S3 method for survdnn
summary(object, ...)

Value

Invisibly returns an object of class `"summary.survdnn"`.

Arguments

object

An object of class `"survdnn"` returned by the [survdnn()] function.

...

Currently ignored (for future compatibility).

Examples

set.seed(42)
sim_data <- data.frame(
  age = rnorm(100, 60, 10),
  sex = factor(sample(c("male", "female"), 100, TRUE)),
  trt = factor(sample(c("A", "B"), 100, TRUE)),
  time = rexp(100, 0.05),
  status = rbinom(100, 1, 0.7)
)
mod <- survdnn(Surv(time, status) ~ age + sex + trt, data = sim_data, epochs = 50, verbose = FALSE)
summary(mod)