| treeList {bartMan} | R Documentation |
Generate a List of Tree Structures from BART Model Output
Description
This function takes a dataframe of trees, which is output from a BART model, and organizes it into a list of tree structures. It allows for filtering based on iteration number, tree number, and optionally reordering based on the maximum depth of nodes or variables.
Usage
treeList(trees, iter = NULL, treeNo = NULL)
Arguments
trees |
A dataframe that contains the tree structures generated by a BART model. Expected columns include iteration, treeNum, parent, node, obsNode, |
iter |
An integer specifying the iteration number of trees to be included in the output. If NULL, trees from all iterations are included. |
treeNo |
An integer specifying the number of the tree to include in the output. If NULL, all trees are included. |
Value
A list of tidygraph objects, each representing the structure of a tree. Each tidygraph object includes node and edge information necessary for visualisation.
Examples
if(requireNamespace("dbarts", quietly = TRUE)){
# Load the dbarts package to access the bart function
library(dbarts)
library(ggplot2)
# Get Data
df <- na.omit(airquality)
# Create Simple dbarts Model For Regression:
set.seed(1701)
dbartModel <- bart(df[2:6], df[, 1], ntree = 5, keeptrees = TRUE, nskip = 10, ndpost = 10)
# Tree Data
trees_data <- extractTreeData(model = dbartModel, data = df)
trees_list <- treeList(trees_data)
}