Print Basic Information of an lbc_net_surv Object
print.lbc_net_surv.RdProvides 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 bylbc_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
} # }