forestRK: Implements the Forest-R.K. Algorithm for Classification Problems
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 <h56cho at uwaterloo.ca> |
| License: | GPL (≥ 3) | fileLICENSE |
| NeedsCompilation: | no |
| CRAN checks: | forestRK results |
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