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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=forestRK to link to this page.
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