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)