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forestRK  

Implements the Forest-R.K. Algorithm for Classification Problems
View on CRAN: Click here


Download and install forestRK package within the R console
Install from CRAN:
install.packages("forestRK")

Install from Github:
library("remotes")
install_github("cran/forestRK")

Install by package version:
library("remotes")
install_version("forestRK", "0.0-5")



Attach the package and use:
library("forestRK")
Maintained by
Hyunjin Cho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-19
Latest Update: 2019-07-19
Description:
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.
How to cite:
Hyunjin Cho (2019). forestRK: Implements the Forest-R.K. Algorithm for Classification Problems. R package version 0.0-5, https://cran.r-project.org/web/packages/forestRK. Accessed 07 Mar. 2026.
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