survex (version 1.2.0)

plot.surv_lime: Plot SurvLIME Explanations for Survival Models

Description

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

Usage

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

Value

An object of the class ggplot.

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")

See Also

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

Examples

# \donttest{
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)
# }