print.utest_classify

<p>additional parameters passed to the function</p>

<p>Simple print method for utest_classify objects.</p>

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 S<c3><ad>lvia 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>.

Gabriela Cybis

uclust

Clustering and Classification Inference with U-Statistics

print.utest_classify: Simple print method for utest_classify objects.

Description

Usage

Arguments