printsplit

Display the split table for fitted <code>htt</code> object.

A novel decision tree algorithm in the hypothesis testing framework. The algorithm examines the distribution difference between two child nodes over all possible binary partitions. The test statistic of the hypothesis testing is equivalent to the generalized energy distance, which enables the algorithm to be more powerful in detecting the complex structure, not only the mean difference. It is applicable for numeric, nominal, ordinal explanatory variables and the response in general metric space of strong negative type. The algorithm has superior performance compared to other tree models in type I error, power, prediction accuracy, and complexity.

Jiaqi Hu

Hypothesis Testing Tree

Zhe Gao

Bo Zhang

Xueqin Wang

printsplit function

<dl> <dt>object</dt>
<dd>fitted model object of class <code>htt</code> returned
 by the <code>HTT</code> function.</dd></dl>

Arguments

Displays split table for Fitted htt Object — printsplit

<dl>

 <dt>object</dt>
<dd>fitted model object of class <code>htt</code> returned
 by the <code>HTT</code> function.</dd>

</dl>

printsplit: Displays split table for Fitted htt Object

Description

Usage

Value

Arguments

See Also

Examples