forestRK: Implements the Forest-R.K. Algorithm for Classification Problems (original) (raw)
Provides functions that calculates common types of splitting criteria used in random forests for classification problems, as well as functions that make predictions based on a single tree or a Forest-R.K. model; the package also provides functions to generate importance plot for a Forest-R.K. model, as well as the 2D multidimensional-scaling plot of data points that are colour coded by their predicted class types by the Forest-R.K. model. This package is based on: Bernard, S., Heutte, L., Adam, S., (2008, ISBN:978-3-540-85983-3) "Forest-R.K.: A New Random Forest Induction Method", Fourth International Conference on Intelligent Computing, September 2008, Shanghai, China, pp.430-437.
| Version: | 0.0-5 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | igraph, ggplot2, rapportools, partykit, stats, graphics, pkgKitten, knitr, mlbench |
| Suggests: | R.rsp |
| Published: | 2019-07-19 |
| DOI: | 10.32614/CRAN.package.forestRK |
| Author: | Hyunjin Cho [aut, cre], Rebecca Su [ctb] |
| Maintainer: | Hyunjin Cho |
| License: | GPL (≥ 3) | file |
| NeedsCompilation: | no |
| CRAN checks: | forestRK results |
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