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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0-5 |
rolling source/ R- | forestRK_0.0-5.tar.gz |
506.3 KiB |
0.0-5 |
latest source/ R- | forestRK_0.0-5.tar.gz |
506.3 KiB |
0.0-5 |
2026-04-23 source/ R- | forestRK_0.0-5.tar.gz |
506.3 KiB |
0.0-5 |
2026-04-09 windows/windows R-4.5 | forestRK_0.0-5.zip |
380.2 KiB |