plot.surv_model_performance function

Plot Model Performance Metrics for Survival Models

This function plots objects of class "surv_model_performance" - visualization of metrics of different models created using the model_performance(..., type="metrics") function.

## S3 method for class 'surv_model_performance'
plot(
  x,
  ...,
  metrics = NULL,
  metrics_type = "time_dependent",
  title = "Model performance",
  subtitle = "default",
  facet_ncol = NULL,
  colors = NULL,
  rug = "all",
  rug_colors = c("#dd0000", "#222222")
)

Arguments

• x: an object of class "surv_model_performance" to be plotted
• ...: additional objects of class "surv_model_performance" to be plotted together
• metrics: character, names of metrics to be plotted (subset of C/D AUC", "Brier score" for metrics_type %in% c("time_dependent", "functional") or subset of "C-index","Integrated Brier score", "Integrated C/D AUC" for metrics_type == "scalar"), by default (NULL) all metrics of a given type are plotted
• metrics_type: character, either one of c("time_dependent","functional") for functional metrics or "scalar" for scalar metrics
• title: character, title of the plot
• subtitle: character, subtitle of the plot, 'default' automatically generates "created for XXX, YYY models", where XXX and YYY are the explainer labels
• facet_ncol: number of columns for arranging subplots
• colors: character vector containing the colors to be used for plotting variables (containing either hex codes "#FF69B4", or names "blue")
• rug: character, one of "all", "events", "censors", "none" or NULL. Which times to mark on the x axis in geom_rug().
• rug_colors: character vector containing two colors (containing either hex codes "#FF69B4", or names "blue"). The first color (red by default) will be used to mark event times, whereas the second (grey by default) will be used to mark censor times.

Returns

An object of the class ggplot.

Examples

library(survival)
library(survex)

model <- randomForestSRC::rfsrc(Surv(time, status) ~ ., data = veteran)
exp <- explain(model)

m_perf <- model_performance(exp)
plot(m_perf)

See Also

Other functions for plotting 'model_performance_survival' objects: plot.model_performance_survival(), plot.surv_model_performance_rocs()