generates an stratified calibration plot

Usage

get_stratified_calibration_plot_surv(
  data,
  n_groups,
  type = c("predictions_aggregated", "predictions_recal_type_1",
    "predictions_recal_type_2"),
  ...
)

Arguments

data: dataset where the dependent variable for all the models is
n_groups: number of points that should be displayed
type: Type of the predictions that the calibration plot data should be generated from: "predictions_aggregated", "predictions_recal_type_1" or "predictions_recal_type_2". The variable with the predictions need to be generated if it is not consider using the calculate_predictions_recalibrated_type_1() and calculate_predictions_recalibrated_type_2() functions.
...: models that should be plotted in the stratified calibration plot. If they are a named paramter the name is used as strat

Value

the stratified calibration plot for the given models

Examples

if (FALSE) { # \dontrun{
get_stratified_calibration_plot_surv(data, 10, model1, model2)
get_stratified_calibration_plot_surv(data, 10, strat1 = model1, strat2 = model2)
} # }