CRAN/E | forestRK

forestRK

Implements the Forest-R.K. Algorithm for Classification Problems

Installation

About

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.

Key Metrics

Version 0.0-5
R ≥ 3.6.0
Published 2019-07-19 1753 days ago
Needs compilation? no
License GPL (≥ 3)
License File
CRAN checks forestRK results

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Maintainer

Maintainer

Hyunjin Cho

h56cho@uwaterloo.ca

Authors

Hyunjin Cho

aut / cre

Rebecca Su

ctb

Material

Reference manual
Package source

Vignettes

forestRK

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.6.0

Imports

igraph
ggplot2
rapportools
partykit
stats
graphics
pkgKitten
knitr
mlbench

Suggests

R.rsp