Fast and Frugal Trees (FFTs) 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). FFTs can be preferable to more complex algorithms (such as logistic regression) because they are easy to communicate and implement, and are robust against noisy data. This package contains several functions that allow users to create, visualize, and test FFts from their input their own data.
| Version: | 1.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | rpart, MASS, circlize, graphics |
| Suggests: | knitr, rmarkdown |
| Published: | 2016-07-22 |
| Author: | Nathaniel Phillips [aut, cre] |
| Maintainer: | Nathaniel Phillips <Nathaniel.D.Phillips.is at gmail.com> |
| BugReports: | https://github.com/ndphillips/FFTrees/issues |
| License: | CC0 |
| URL: | NA |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FFTrees results |
| Reference manual: | FFTrees.pdf |
| Vignettes: |
Examples of FFTs Creating FFTs with fft() Overview FFTrees Visualizing FFTs with plot() |
| Package source: | FFTrees_1.1.1.tar.gz |
| Windows binaries: | r-devel: FFTrees_1.1.1.zip, r-release: FFTrees_1.1.1.zip, r-oldrel: FFTrees_1.1.1.zip |
| OS X Mavericks binaries: | r-release: FFTrees_1.1.1.tgz, r-oldrel: FFTrees_1.1.1.tgz |
| Old sources: | FFTrees archive |