add ref

Author: studener

R/PipeOpTaskSurvClassif.R

@@ -5,7 +5,7 @@
 #' @description
 #' Transform [TaskSurv] to [TaskClassif][mlr3::TaskClassif] by creating multiple
 #' interval observations for each subject based on `cut`, with a `ped_status` variable
-#' indicating whether an event occurred in each interval. (add one ref?)
+#' indicating whether an event occurred in each interval.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [PipeOp][mlr3pipelines::PipeOp].
@@ -43,6 +43,10 @@
 #'   po$predict(list(task))[[1]]
 #' }
 #' }
+#'
+#' @references
+#' `r format_bib("tutz_2016")`
+#'
 #' @family PipeOps
 #' @family Transformation PipeOps
 #' @export

R/bibentries.R

@@ -674,5 +674,14 @@ bibentries = c( # nolint start
     pages             = "515--526",
     doi               = "10.1093/biomet/81.3.515",
     url               = "https://doi.org/10.1093/biomet/81.3.515"
+  ),
+  tutz_2016 = bibentry("book",
+    author            = "Tutz, Gerhard and Schmid, Matthias",
+    title             = "Modeling Discrete Time-to-Event Data",
+    year              = "2016",
+    publisher         = "Springer International Publishing",
+    series            = "Springer Series in Statistics",
+    isbn              = "978-3-319-28156-8 978-3-319-28158-2",
+    url               = "http://link.springer.com/10.1007/978-3-319-28158-2"
   )
 ) # nolint end