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 in Phillips, Neth, Woike & Gaissmaier (2017). 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 communicate, and are robust against overfitting.

Version: 1.7.5
Depends: R (≥ 3.5.0)
Imports: caret, rpart, randomForest, e1071, crayon, graphics, progress, scales, dplyr, knitr, magrittr, stringr, testthat, tibble, tidyselect
Suggests: rmarkdown, spelling
Published: 2022-09-15
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>
BugReports: https://github.com/ndphillips/FFTrees/issues
License: CC0
URL: https://CRAN.R-project.org/package=FFTrees, https://github.com/ndphillips/FFTrees/
NeedsCompilation: no
Language: en-US
Citation: FFTrees citation info
Materials: README NEWS
CRAN checks: FFTrees results

Documentation:

Reference manual: FFTrees.pdf
Vignettes: Accuracy statistics in FFTrees
Examples of FFTrees
Creating FFTs with FFTrees()
Creating FFTs for heart disease
Manually specifying FFTs
Visualising FFTs with FFTrees
Overview: Using FFTs with FFTrees

Downloads:

Package source: FFTrees_1.7.5.tar.gz
Windows binaries: r-devel: FFTrees_1.7.5.zip, r-release: FFTrees_1.7.5.zip, r-oldrel: FFTrees_1.7.5.zip
macOS binaries: r-release (arm64): FFTrees_1.7.5.tgz, r-oldrel (arm64): FFTrees_1.7.5.tgz, r-release (x86_64): FFTrees_1.7.5.tgz, r-oldrel (x86_64): FFTrees_1.7.5.tgz
Old sources: FFTrees archive

Linking:

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