FFTrees: Generate, Visualise, and Compare Fast and Frugal Decision Trees

Create, visualise, and test fast and frugal decision trees (FFTrees). FFTrees are very simple decision trees for classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.; no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTrees can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are robust against overfitting.

Version: 1.2.3
Depends: R (≥ 2.10)
Imports: rpart, yarrr, MASS, circlize, mlbench, graphics, randomForest, igraph, snow, snowfall, e1071
Suggests: knitr, rmarkdown
Published: 2017-05-04
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <Nathaniel.D.Phillips.is at gmail.com>
BugReports: https://github.com/ndphillips/FFTrees/issues
License: CC0
NeedsCompilation: no
Materials: README
CRAN checks: FFTrees results


Reference manual: FFTrees.pdf
Vignettes: FFTrees tree construction algorithms
Examples of FFTrees
Creating FFTrees
Visualizing FFTrees with plot()
FFTrees package overview
Package source: FFTrees_1.2.3.tar.gz
Windows binaries: r-devel: FFTrees_1.2.3.zip, r-release: FFTrees_1.2.3.zip, r-oldrel: FFTrees_1.2.3.zip
OS X El Capitan binaries: r-release: FFTrees_1.2.3.tgz
OS X Mavericks binaries: r-oldrel: FFTrees_1.2.3.tgz
Old sources: FFTrees archive


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