largeRCRF/man/WeightedVarianceSplitFinder.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/regressionComponents.R
\name{WeightedVarianceSplitFinder}
\alias{WeightedVarianceSplitFinder}
\title{WeightedVarianceSplitFinder}
\usage{
WeightedVarianceSplitFinder()
}
\value{
A split finder object to be used in \code{\link{train}}; not useful
  on its own.
}
\description{
This split finder is used in regression random forests. When a split is made,
this finder computes the sample variance in each group (divided by n, not
n-1); it then minimizes the sum of these variances, each of them weighted by
their sample size divided by the total sample size of that node.
}
\note{
There are other split finders that are used in regression random
  forests that are not included in this package. This package is oriented
  toward the competing risks side of survival analysis; the regression
  options are provided as an example of how extensible the back-end Java
  package is. If you are interested in using this package for regression (or
  other uses), feel free to write your own components. It's not too hard to
  write these components; the WeightedVarianceSplitFinder Java class is quite
  short; most of the code is to reuse calculations from previous considered
  splits. I (the author) am also willing to assist if you have any questions.
}
\examples{
splitFinder <- WeightedVarianceSplitFinder()
# You would then use it in train()

}
\references{
https://kogalur.github.io/randomForestSRC/theory.html#section8.3
}