Clustering and Classification Inference with U-Statistics R package uclust version 1.0.0 Clustering and classification inference for high dimension low sample size (HDLSS) data with U-statistics. The package contains implementations of nonparametric statistical tests for sample homogeneity, group separation, clustering, and classification of multivariate data. The methods have high statistical power and are tailored for data in which the dimension L is much larger than sample size n. See Gabriela B. Cybis, Marcio Valk and Sílvia RC Lopes (2018) <doi:10.1080/00949655.2017.1374387>, Marcio Valk and Gabriela B. Cybis (2020) <doi:10.1080/10618600.2020.1796398>, Debora Z. Bello, Marcio Valk and Gabriela B. Cybis (2021) <arXiv:2106.09115>. Software Depends: R (>= 3.4.0),dendextend,robcor Suggests: testthat Gabriela Cybis <gcybis@gmail.com> Comprehensive R Archive Network (CRAN) Gabriela Cybis [aut, cre], Marcio Valk [aut], Kazuki Yokoyama [ctb], Debora Zava Bello [ctb] GPL-3 2021-06-18 application/tgz https://CRAN.R-project.org/package=uclust doi:10.32614/CRAN.package.uclust