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.


Reference manual

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0.0-5 by Hyunjin Cho, 6 months ago

Browse source code at

Authors: Hyunjin Cho [aut, cre] , Rebecca Su [ctb]

Documentation:   PDF Manual  

GPL (>= 3) | file LICENSE license

Imports igraph, ggplot2, rapportools, partykit, stats, graphics, pkgKitten, knitr, mlbench

Suggests R.rsp

See at CRAN