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Type: Package
Title: Least Absolute Deviation Regression Trees
Version: 0.1.3
Date: 2023-11-18
Author: Stephan Dlugosz [aut,cre]
Maintainer: Stephan Dlugosz <stephan.dlugosz@googlemail.com>
Description: Recursive partitioning for least absolute deviation regression trees. Another algorithm from the 1984 book by Breiman, Friedman, Olshen and Stone in addition to the 'rpart' package (Breiman, Friedman, Olshen, Stone (1984, ISBN:9780412048418).
License: GPL-3
NeedsCompilation: yes
Depends: R (≥ 3.6.0), Rcpp (≥ 0.12.3), rpart (≥ 3.1.0)
LinkingTo: Rcpp (≥ 0.12.3)
Encoding: UTF-8
RoxygenNote: 7.2.3
Packaged: 2023-11-18 08:58:16 UTC; sdlug
Repository: CRAN
Date/Publication: 2023-11-18 09:30:02 UTC

rpart.LAD: Least Absolute Deviation Regression Trees

Description

Recursive partitioning for least absolute deviation regression trees. Another algorithm from the 1984 book by Breiman, Friedman, Olshen and Stone in addition to the 'rpart' package (Breiman, Friedman, Olshen, Stone (1984, ISBN:9780412048418).


'rpart'-method: List of required functions for inducing 'rpart'-like LAD regression trees

Description

'rpart'-method: List of required functions for inducing 'rpart'-like LAD regression trees

Usage

LAD

Format

An object of class list of length 4.

Examples

  mystate <- data.frame(state.x77, region = state.region)
  names(mystate) <- casefold(names(mystate)) #remove mixed case

  fit <-  rpart(murder ~ ., data = mystate, minsplit = 10, method = LAD)
  plot(fit); text(fit)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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