rftree: Random forest tree

In bgreenwell/treemisc: Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R"

Random forest tree

Description

Fits a single randomForest tree.

Usage

rftree(X, y, rotate = FALSE, ...)

Arguments

X	A data frame or a matrix of predictors.
y	Numeric vector of response value. For binary outcomes, y should be mapped to {0, 1}. Note that multiclass outcomes are not supported.
rotate	Logical indicating whether or not to randomly rotate the feature values prior to fitting the tree. Default is FALSE which results in a traditional random forest tree.
...	Optional arguments to be passed on to randomForest.

bgreenwell/treemisc documentation built on Oct. 26, 2022, 12:56 a.m.