#' @title Uno's C-Index
#'
#' @usage NULL
#' @aliases mlr_measures_surv.unos_c
#' @format [R6::R6Class()] inheriting from [MeasureSurv].
#' @include MeasureSurv.R
#'
#' @section Construction:
#' ```
#' MeasureSurvUnosC$new()
#' mlr_measures$get("surv.unos_c")
#' msr("surv.unos_c")
#' ```
#'
#' @description
#' Calls [survAUC::UnoC()].
#'
#' @references
#' Uno, Hajime, et al. (2011).
#' On the Cāstatistics for evaluating overall adequacy of risk prediction procedures with censored survival data.
#' Statistics in medicine 30.10 (2011): 1105-1117.
#' \doi{10.1002/sim.4154}
#'
#' @template seealso_measure
#' @export
MeasureSurvUnosC = R6Class("MeasureSurvUnosC",
inherit = MeasureSurv,
public = list(
initialize = function() {
super$initialize(
id = "surv.unos_c",
range = 0:1,
minimize = FALSE,
packages = "survAUC",
properties = c("na_score", "requires_task", "requires_train_set")
)
},
score_internal = function(prediction, task, train_set, ...) {
surv_train = task$truth(train_set)
perf = survAUC::UnoC(surv_train, prediction$truth, prediction$risk)
if (is.nan(perf)) {
perf = NA_real_
}
perf
}
)
)
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