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.

Getting started

Package details

AuthorHyunjin Cho [aut, cre], Rebecca Su [ctb]
MaintainerHyunjin Cho <>
LicenseGPL (>= 3) | file LICENSE
Package repositoryView on CRAN
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forestRK documentation built on July 19, 2019, 5:04 p.m.