taotliu/TriCTree: Implementation of Regression-Based Trichotomous Classification Tree Analysis

This package includes a trichotomous classification algorithm to classify a training dataset into two groups. The algorithm produces a tree of which each knot has three splits; a "positive" split, a "negative" split, and a "middle" split. The middle split will be further subdivided into three splits until a stopping criterion is met. The package generates an object of class "trictree" which can be used to generate summary results using generic functions. The package also includes a prediction function which can be used to apply the estimated trichotomous classification tree to a new testing dataset.

Getting started

Package details

Author"Yan Sun <[email protected]> [cre, aut]" "Yanke Zhu <[email protected]> [aut]" "Tao Liu <[email protected]> [aut, cre]"
MaintainerTao Liu <[email protected]>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("taotliu/TriCTree")
taotliu/TriCTree documentation built on May 27, 2019, 3:32 p.m.