1. diproperm: An R Package for the DiProPerm Test
- Author
-
Allmon, Andrew G., Marron, J. S., and Hudgens, Michael G.
- Subjects
Statistics - Computation ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
High-dimensional low sample size (HDLSS) data sets emerge frequently in many biomedical applications. A common task for analyzing HDLSS data is to assign data to the correct class using a classifier. Classifiers which use two labels and a linear combination of features are known as binary linear classifiers. The direction-projection-permutation (DiProPerm) test was developed for testing the difference of two high-dimensional distributions induced by a binary linear classifier. 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., Comment: Package located at https://github.com/allmondrew/diproperm
- Published
- 2020