37 lines
1.4 KiB
Text
37 lines
1.4 KiB
Text
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/regressionComponents.R
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\name{WeightedVarianceSplitFinder}
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\alias{WeightedVarianceSplitFinder}
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\title{WeightedVarianceSplitFinder}
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\usage{
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WeightedVarianceSplitFinder()
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}
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\value{
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A split finder object to be used in \code{\link{train}}; not
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useful on its own.
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}
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\description{
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This split finder is used in regression random forests. When a split is made,
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this finder computes the sample variance in each group (divided by n, not
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n-1); it then minimizes the the sum of these variances, each of them weighted
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by their sample size divided by the total sample size of that node.
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}
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\note{
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There are other split finders that are used in regression random
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forests that are not included in this package. This package is oriented
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toward the competing risk side of survival analysis; the regression options
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are provided as an example of how extensible the back-end Java package is.
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If you are interested in using this package for regression (or other uses),
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feel free to write your own components. It's really not hard to write these
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components; the WeightedVarianceSplitFinder Java class is quite short; most
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of the code is to reuse calculations from previous considered splits.
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}
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\examples{
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splitFinder <- WeightedVarianceSplitFinder()
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# You would then use it in train()
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}
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\references{
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https://kogalur.github.io/randomForestSRC/theory.html#section8.3
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}
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