Allmon Andrew G, Marron J S, Hudgens Michael G
University of North Carolina at Chapel Hill, Department of Biostatistics.
R J. 2021 Dec;13(2):266-272. doi: 10.32614/rj-2021-072. Epub 2021 Aug 17.
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.
高维小样本量（HDLSS）数据集在许多生物医学应用中经常出现。方向投影置换（DiProPerm）检验是一种用于比较两个高维分布的双样本假设检验。DiProPerm检验是精确的，即对于任何样本量，其第一类错误都能保证被控制在名义水平，因此适用于HDLSS设置。本文讨论了DiProPerm检验的关键组成部分，介绍了diproperm R包，并在一个真实数据集上展示了该包。
