DESCRIPTION

Package: rerf
Type: Package
Title: Randomer Forest
Version: 1.1.3.9000
Date: 2018-08-14
Authors@R: c(
    person("James", "Browne", role = c("aut", "cre"), email = "jbrowne6@jhu.edu"),
	  person("Tyler", "Tomita", role = "aut", email = "ttomita2@jhmi.edu"),
	  person("Jesse", "Patsolic", role = "ctb", email = "jpatsolic@jhu.edu"),
	  person("Joshua", "Vogelstein", role = "ths", email = "jovo@jhu.edu")
    )
Description: Random Forester (RerF) is an algorithm developed by Tomita (2016)
    <arXiv:1506.03410v2> which is similar to Random Forest - Random
    Combination (Forest-RC) developed by Breiman (2001)
    <doi:10.1023/A:1010933404324>.  Random Forests create axis-parallel, or
    orthogonal trees. That is, the feature space is recursively split along
    directions parallel to the axes of the feature space. Thus, in cases in
    which the classes seem inseparable along any single dimension, Random
    Forests may be suboptimal.  To address this, Breiman also proposed and
    characterized Forest-RC, which uses linear combinations of coordinates
    rather than individual coordinates, to split along.  This package,
    'rerf', implements RerF which is similar to Forest-RC.  The difference
    between the two algorithms is where the random linear combinations
    occur: Forest-RC combines features at the per tree level whereas RerF
    takes linear combinations of coordinates at every node in the tree.
License: Apache License 2.0 | file LICENSE
URL: https://github.com/neurodata/R-RerF
Imports: parallel, RcppZiggurat, utils, stats, dummies
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
ByteCompile: true
Encoding: UTF-8
RoxygenNote: 6.1.0