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) | file LICENSE
NeedsCompilation:	no
CRAN checks:	forestRK results

Documentation:

Reference manual:	forestRK.pdf
Vignettes:	forestRK

Downloads:

Package source:	forestRK_0.0-5.tar.gz
Windows binaries:	r-devel: forestRK_0.0-5.zip, r-release: forestRK_0.0-5.zip, r-oldrel: forestRK_0.0-5.zip
macOS binaries:	r-release (arm64): forestRK_0.0-5.tgz, r-oldrel (arm64): forestRK_0.0-5.tgz, r-release (x86_64): forestRK_0.0-5.tgz, r-oldrel (x86_64): forestRK_0.0-5.tgz

Linking:

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