vimpPlot function

vimpPlot

Plot the variable importance for a BART model with the 25

quantile.

vimpPlot(trees, type = "prop", plotType = "barplot", metric = "median")

Arguments

• trees: A data frame created by extractTreeData function.
• type: What value to return. Either the raw count 'count' or the proportions 'prop' averaged over iterations.
• plotType: Which type of plot to return. Either a barplot 'barplot' with the quantiles shown as a line, a point plot with the quantiles shown as a gradient 'point', or a letter-value plot 'lvp'.
• metric: Whether to show the 'mean' or 'median' importance values. Note, this has no effect when using plotType = 'lvp'.

Returns

A plot of variable importance.

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)
 vimpPlot(trees = trees_data, plotType = 'point')
}