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 |
| Author: |
Hyunjin Cho [aut, cre],
Rebecca Su [ctb] |
| Maintainer: |
Hyunjin Cho <h56cho at uwaterloo.ca> |
| License: |
GPL (≥ 3) | file LICENSE |
| NeedsCompilation: |
no |
| CRAN checks: |
forestRK results |
Documentation:
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