trtf: Transformation Trees and Forests

Recursive partytioning of transformation models with corresponding random forest for conditional transformation models as described in 'Transformation Forests' (Hothorn and Zeileis, 2021, <doi:10.1080/10618600.2021.1872581>) and 'Top-Down Transformation Choice' (Hothorn, 2018, <doi:10.1177/1471082X17748081>).

Version:	0.4-3
Depends:	mlt (≥ 1.4-1), partykit (≥ 1.2-1), tram
Imports:	Formula, sandwich, grid, stats, variables, libcoin, utils, grDevices
Suggests:	survival, TH.data, coin, ATR, Matrix, colorspace, inum, lattice, latticeExtra, memisc, multcomp, quantregForest, AppliedPredictiveModeling, mlbench
Published:	2025-01-29
DOI:	10.32614/CRAN.package.trtf
Author:	Torsten Hothorn [aut, cre]
Maintainer:	Torsten Hothorn <Torsten.Hothorn at R-project.org>
License:	GPL-2
URL:	http://ctm.R-forge.R-project.org
NeedsCompilation:	no
Materials:	NEWS
In views:	MachineLearning
CRAN checks:	trtf results

Documentation:

Reference manual:

trtf.html , trtf.pdf

Downloads:

Package source:	trtf_0.4-3.tar.gz
Windows binaries:	r-devel: trtf_0.4-3.zip, r-release: trtf_0.4-3.zip, r-oldrel: trtf_0.4-3.zip
macOS binaries:	r-release (arm64): trtf_0.4-3.tgz, r-oldrel (arm64): trtf_0.4-3.tgz, r-release (x86_64): trtf_0.4-3.tgz, r-oldrel (x86_64): trtf_0.4-3.tgz
Old sources:	trtf archive

Reverse dependencies:

Reverse suggests:

ATR, counterfactuals, tbm, TH.data, tram, tramnet

Linking:

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