FFTrees: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described by Phillips, Neth, Woike & Gaissmaier (2017), <doi:10.1017/S1930297500006239>. FFTs are simple and transparent decision trees for solving binary classification problems. FFTs can be preferable to more complex algorithms because they require very little information, are easy to understand and communicate, and are robust against overfitting.

Version: 2.1.0
Depends: R (≥ 3.5.0)
Published: 2025年09月02日
Author: Nathaniel Phillips ORCID iD [aut], Hansjoerg Neth ORCID iD [aut, cre], Jan Woike ORCID iD [aut], Wolfgang Gaissmaier ORCID iD [aut]
Maintainer: Hansjoerg Neth <h.neth at uni.kn>
License: CC0
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: FFTrees results

Documentation:

Reference manual: FFTrees.html , FFTrees.pdf

Downloads:

Package source: FFTrees_2.1.0.tar.gz
Windows binaries: r-devel: FFTrees_2.1.0.zip, r-release: FFTrees_2.1.0.zip, r-oldrel: FFTrees_2.1.0.zip
macOS binaries: r-release (arm64): FFTrees_2.1.0.tgz, r-oldrel (arm64): FFTrees_2.1.0.tgz, r-release (x86_64): FFTrees_2.1.0.tgz, r-oldrel (x86_64): FFTrees_2.1.0.tgz
Old sources: FFTrees archive

Linking:

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