| Literature DB >> 35721233 |
Andrew G Allmon1, J S Marron1, Michael G Hudgens1.
Abstract
High-dimensional low sample size (HDLSS) data sets frequently emerge 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.Entities:
Year: 2021 PMID: 35721233 PMCID: PMC9202909 DOI: 10.32614/rj-2021-072
Source DB: PubMed Journal: R J ISSN: 2073-4859 Impact factor: 1.673