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.
|Author||"Yan Sun <[email protected]> [cre, aut]" "Yanke Zhu <[email protected]> [aut]" "Tao Liu <[email protected]> [aut, cre]"|
|Maintainer||Tao Liu <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.