Package: uclust
Title: Clustering and Classification Inference with U-Statistics
Version: 0.1.0
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"))
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> and Marcio 
    Valk and Gabriela B. Cybis (2018) <arXiv:1805.12179>.
Depends: R (>= 3.4.0),dendextend,robcor
Imports:
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-02-05 13:26:44 UTC; Gabriela
Author: Gabriela Cybis [aut, cre],
  Marcio Valk [aut],
  Kazuki Yokoyama [ctb]
Maintainer: Gabriela Cybis <gcybis@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-11 16:00:03 UTC
