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HTT  

Hypothesis Testing Tree
View on CRAN: Click here


Download and install HTT package within the R console
Install from CRAN:
install.packages("HTT")

Install from Github:
library("remotes")
install_github("cran/HTT")

Install by package version:
library("remotes")
install_version("HTT", "0.1.2")



Attach the package and use:
library("HTT")
Maintained by
Jiaqi Hu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-01
Latest Update: 2023-03-12
Description:
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.
How to cite:
Jiaqi Hu (2022). HTT: Hypothesis Testing Tree. R package version 0.1.2, https://cran.r-project.org/web/packages/HTT. Accessed 28 Oct. 2026.
Previous versions and publish date:
0.1.0 (2022-12-01 09:00), 0.1.1 (2022-12-09 12:02), (2026-07-09 08:06)
Other packages that cited HTT R package
View HTT citation profile
Other R packages that HTT depends, imports, suggests or enhances
Complete documentation for HTT
Functions, R codes and Examples using the HTT R package
Some associated functions: ENB . HTT . httject . htt_control . plot.htt . predict.htt . print.htt . printsplit . 
Some associated R codes: HTT.R . RcppExports.R . convenient.R . htt_control.R . plot.R . predict.R . print.R . printsplit.R .  Full HTT package functions and examples
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