Package: forestRK
Version: 0.0-5
Encoding: UTF-8
Title: Implements the Forest-R.K. Algorithm for Classification Problems
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.
Authors@R: c(
    person("Hyunjin", "Cho", email = "h56cho@uwaterloo.ca", role = c("aut","cre")),
    person("Rebecca", "Su", email = "y57su@uwaterloo.ca", role = "ctb"))
Author: Hyunjin Cho [aut, cre],
  Rebecca Su [ctb]
Maintainer: Hyunjin Cho <h56cho@uwaterloo.ca>
Depends: R (>= 3.6.0)
Imports: igraph, ggplot2, rapportools, partykit, stats, graphics,
        pkgKitten, knitr, mlbench
License: GPL (>= 3) | file LICENSE
Repository: CRAN
Note: The package is also based on the discussion
        https://stats.stackexchange.com/questions/168964/building-a-regression-tree-with-r-from-scratch/168967#168967
RoxygenNote: 6.1.1
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-07-18 17:33:49 UTC; jin-dominique
Date/Publication: 2019-07-19 10:50:02 UTC
Built: R 4.0.2; ; 2020-07-17 00:28:13 UTC; unix
