plot.surv_lime function

Plot SurvLIME Explanations for Survival Models

This functions plots objects of class surv_lime - LIME explanations of survival models created using predict_parts(..., type="survlime") function.

## S3 method for class 'surv_lime'
plot(
  x,
  type = "local_importance",
  show_survival_function = TRUE,
  ...,
  title = "SurvLIME",
  subtitle = "default",
  max_vars = 7,
  colors = NULL
)

Arguments

• x: an object of class "surv_lime" to be plotted
• type: character, either "coefficients" or "local_importance" (default), selects the type of plot
• show_survival_function: logical, if the survival function of the explanations should be plotted next to the barplot
• ...: other parameters currently ignored
• 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
• max_vars: maximum number of variables to be plotted (least important variables are ignored)
• colors: character vector containing the colors to be used for plotting variables (containing either hex codes "#FF69B4", or names "blue")

Returns

An object of the class ggplot.

Examples

library(survival)
library(survex)

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

p_parts_lime <- predict_parts(exp, veteran[1, -c(3, 4)], type = "survlime")
plot(p_parts_lime)

See Also

Other functions for plotting 'predict_parts_survival' objects: plot.predict_parts_survival(), plot.surv_shap()