HDRankTest

HDRankTest provides methods for comparing two-sample high-dimensional data based on relative effects.

This package includes the following rank-based testing procedures

• Kong, Ye and Weng (2026)
• Kong, Villasante Tezanos and Harrar (2022, Symmetry)
• Kong and Harrar (2020, JNA)

and the following mean-based testing procedures

• Chen and Qin (2010 AOS)
• Gregory, Carroll, Baladandayuthapani and Lahiri (2015, JASA)
• Zhang and Wang (2021, CSDA)
• XU, Lin, Wei and Pan (2016, Biometrika)

Installation

You can install the development version of HDRankTest like so:

remotes::install_github("Kong-WayneState/HDRankTest")