Package: uclust
Title: Clustering and Classification Inference with U-Statistics
Version: 1.0.0
Authors@R: c(person("Gabriela","Cybis",email="gcybis@gmail.com",role=c("aut","cre")),
           person("Marcio","Valk",email="marciovalk@gmail.com",role="aut"),
           person("Kazuki","Yokoyama",email="gcybis@gmail.com",role="ctb"),
           person("Debora","Zava Bello",email="gcybis@gmail.com",role="ctb"))
Description: 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>. 
Depends: R (>= 3.4.0),dendextend,robcor
Imports:
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-06-18 17:26:56 UTC; gabrielacybis
Author: Gabriela Cybis [aut, cre],
  Marcio Valk [aut],
  Kazuki Yokoyama [ctb],
  Debora Zava Bello [ctb]
Maintainer: Gabriela Cybis <gcybis@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-18 22:10:02 UTC
Built: R 4.6.0; ; 2026-04-28 22:22:30 UTC; unix
