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Provides a concise summary of an "lbc_net_surv" object, including sample size, training loss, local balance (LSD) during training, key model hyperparameters, and the estimated survival difference at a highlighted time point.

Usage

# S3 method for class 'lbc_net_surv'
print(x, ...)

Arguments

x

An object of class "lbc_net_surv", generated by lbc_net_surv().

...

Additional arguments (ignored).

Value

Prints key training details, model parameters, and a brief summary of the survival difference. Invisibly returns x.

Examples

if (FALSE) { # \dontrun{
fit_surv <- lbc_net_surv(
  data    = dat,
  formula = Tr ~ X1 + X2,
  time    = "time",
  delta   = "delta"
)
print(fit_surv)  # Displays a concise survival-focused overview
} # }