Computes the integrated Brier score (IBS), Uno C-index, and integrated area under the curve (iAUC) for the SuperSurv ensemble and all individual base learners.
Usage
eval_summary(
object,
newdata,
time,
event,
eval_times,
risk_time = stats::median(eval_times),
verbose = FALSE
)Arguments
- object
A fitted
SuperSurvobject.- newdata
A data.frame of test covariates.
- time
Numeric vector of observed follow-up times for the test set.
- event
Numeric vector of event indicators for the test set.
- eval_times
Numeric vector of times at which to evaluate survival predictions.
- risk_time
Numeric. The specific time horizon used when extracting risk scores for Uno C-index. Defaults to the median of
eval_times.- verbose
Logical; if
TRUE, progress messages are shown.
Value
An object of class "SuperSurv_eval" containing benchmark
metrics for the ensemble and base learners.
Examples
data("metabric", package = "SuperSurv")
dat <- metabric[1:80, ]
x_cols <- grep("^x", names(dat))[1:3]
fit <- SuperSurv(
time = dat$duration,
event = dat$event,
X = dat[, x_cols, drop = FALSE],
new.times = seq(50, 200, by = 50),
event.library = c("surv.coxph", "surv.km"),
cens.library = c("surv.coxph", "surv.km")
)
res <- eval_summary(
object = fit,
newdata = dat[, x_cols, drop = FALSE],
time = dat$duration,
event = dat$event,
eval_times = seq(50, 200, by = 50)
)
res
#> Model IBS Uno_C iAUC
#> 1 SuperSurv_Ensemble 0.2272 0.5713 0.5988
#> 2 surv.coxph_screen.all 0.2172 0.5713 0.5988
#> 3 surv.km_screen.all 0.2306 0.5000 0.5000