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:	2.0.0
Depends:	R (≥ 3.5.0)
Imports:	caret, rpart, randomForest, e1071, cli, dplyr, knitr, magrittr, scales, stringr, testthat, tibble, tidyselect
Suggests:	rmarkdown, spelling
Published:	2023-06-05
DOI:	10.32614/CRAN.package.FFTrees
Author:	Nathaniel Phillips [aut], Hansjoerg Neth [aut, cre], Jan Woike [aut], Wolfgang Gaissmaier [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() Tutorial: Creating FFTs for heart disease Manually specifying FFTs Visualising FFTs Overview: Creating FFTs with FFTrees

Downloads:

Package source:	FFTrees_2.0.0.tar.gz
Windows binaries:	r-devel: FFTrees_2.0.0.zip, r-release: FFTrees_2.0.0.zip, r-oldrel: FFTrees_2.0.0.zip
macOS binaries:	r-release (arm64): FFTrees_2.0.0.tgz, r-oldrel (arm64): FFTrees_2.0.0.tgz, r-release (x86_64): FFTrees_2.0.0.tgz, r-oldrel (x86_64): FFTrees_2.0.0.tgz
Old sources:	FFTrees archive

Linking:

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