add more references

R/PipeOpBreslow.R

@@ -39,6 +39,8 @@
 #'    This is useful for changing the prediction `distr` from one model form to
 #'    another.
 #' @seealso [pipeline_distrcompositor]
+#' @references
+#' `r format_bib("cox_1972", "lin_2007")`
 #' @export
 #' @family survival compositors
 #' @examplesIf mlr3misc::require_namespaces(c("mlr3pipelines"), quietly = TRUE)

R/TaskGeneratorCoxed.R

@@ -16,6 +16,8 @@
 #' @template task_generator
 #'
 #' @template seealso_task_generator
+#' @references
+#' `r format_bib("harden_2019")`
 #' @examplesIf mlr3misc::require_namespaces(c("coxed"), quietly = TRUE)
 #'   library(mlr3)
 #'

R/TaskGeneratorSimsurv.R

@@ -20,6 +20,8 @@
 #' @template task_generator
 #'
 #' @template seealso_task_generator
+#' @references
+#' `r format_bib("brilleman_2021")`
 #' @examplesIf mlr3misc::require_namespaces(c("simsurv"), quietly = TRUE)
 #'   # generate 20 samples with Weibull survival distribution
 #'   gen = tgen("simsurv")

R/pipelines.R

@@ -562,6 +562,8 @@ pipeline_survtoregr = function(method = 1, regr_learner = lrn("regr.featureless"
 #' 4. Optionally: [PipeOpModelMatrix][mlr3pipelines::PipeOpModelMatrix] is used to transform the formula of the task
 #' before fitting the learner.
 #'
+#' @references
+#' `r format_bib("tutz_2016")`
 #' @examplesIf mlr3misc::require_namespaces(c("mlr3pipelines", "mlr3learners"), quietly = TRUE)
 #' \dontrun{
 #'   library(mlr3)
@@ -636,6 +638,9 @@ pipeline_survtoclassif_disctime = function(learner, cut = NULL, max_time = NULL,
 #' 3. [PipeOpPredClassifSurvIPCW] transforms the resulting [PredictionClassif][mlr3::PredictionClassif]
 #' to [PredictionSurv].
 #'
+#' @references
+#' `r format_bib("vock_2016")`
+#'
 #' @examplesIf mlr3misc::require_namespaces(c("mlr3pipelines", "mlr3learners"), quietly = TRUE)
 #' \dontrun{
 #'   library(mlr3)