vimpBart {bartMan} | R Documentation |
vimpBart
Description
A matrix with nMCMC rows with each variable as a column. Each row represents an MCMC iteration. For each variable, the total count of the number of times that variable is used in a tree is given.
Usage
vimpBart(trees, type = "prop")
Arguments
trees |
A data frame created by 'extractTreeData' function. |
type |
What value to return. Either the raw count 'val', the proportion 'prop', the column means of the proportions 'propMean', or the median of the proportions 'propMedian'. |
Value
A matrix of importance values
Examples
if(requireNamespace("dbarts", quietly = TRUE)){
# Load the dbarts package to access the bart function
library(dbarts)
# 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)
vimpBart(trees_data, type = 'prop')
}
[Package bartMan version 0.1.1 Index]