The R Journal: accepted article

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diproperm: An R Package for the DiProPerm Test PDF download
Andrew G. Allmon, J.S. Marron and Michael G. Hudgens

Abstract High-dimensional low sample size (HDLSS) data sets emerge frequently in many biomedical applications. The direction-projection-permutation (DiProPerm) test is a two-sample hypothesis test for comparing two high-dimensional distributions. The DiProPerm test is exact, i.e., the type I error is guaranteed to be controlled at the nominal level for any sample size, and thus is applicable in the HDLSS setting. This paper discusses the key components of the DiProPerm test, introduces the diproperm R package, and demonstrates the package on a real-world data set.

Received: 2020-10-30; online 2021-08-17, supplementary material, (840 bytes)
CRAN packages: diproperm, DWDLargeR, Matrix
CRAN Task Views implied by cited CRAN packages: Econometrics, Multivariate, NumericalMathematics


CC BY 4.0
This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-072,
  author = {Andrew G. Allmon and J.S. Marron and Michael G. Hudgens},
  title = {{diproperm: An R Package for the DiProPerm Test}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-072},
  url = {https://journal.r-project.org/archive/2021/RJ-2021-072/index.html}
}