plot.ExplainbartMachine: A Function for Visualizing the Shapley Values of BART Models

In bartXViz: Visualization of BART and BARP using SHAP

A Function for Visualizing the Shapley Values of BART Models

Description

The plot.ExplainbartMachine function provides various visualization methods for Shapley values. It is designed to visualize ExplainbartMachine class objects, which contain Shapley values computed from models estimated using the bartMachine function from the bartMachine. The values and format used in the graph are determined based on the input parameters.

Usage

## S3 method for class 'ExplainbartMachine'
plot(
  x,
  average = NULL,
  type = NULL,
  num_post = NULL,
  plot.flag = TRUE,
  adjust = FALSE,
  probs = 0.95,
  title = NULL,
  ...
)

Arguments

x	An ExplainbartMachine class object containing the Shapley values of the BART model.
average	Input the reference value for calculating the mean of the object's phi list. "obs" represents abind the average based on observations (#post by #variable), while "post" represents the average based on posterior samples (#obs by #variable). If "both" is entered, calculations are performed based on both observation and posterior sample criteria. If no value is specified, "both" is used as the default.
type	"bar" represents a bar chart that includes the average contribution of each variable, while "bee" represents a summary plot, allowing you to determine the graph's format.
num_post	To check the contribution of variables for a single posterior sample, enter a value within the number of posterior samples.
plot.flag	If average = "obs", the quantile interval of each variable's is provided by default.
adjust	The default value is FALSE. Enter TRUE to check the Shapley values adjusted based on the model's average contribution.
probs	Enter the probability for the quantile interval. The default value is 0.95.
title	The title of the plot, with a default value of NULL.
...	Additional arguments to be passed

Value

The plot is returned based on the specified option.:

out

If average is "obs" or "post", a bar plot or summary plot is generated based on the selected averaging criterion. If average is "both", a boxplot is displayed to show the distribution of Shapley values computed using both criteria. If adjust is TRUE, the adjusted Shapley values are displayed. If num_post is specified, a bar plot or summary plot for the selected posterior sample is generated.

bartXViz documentation built on Aug. 8, 2025, 6:23 p.m.