Package: uclust 1.0.0

Gabriela Cybis

uclust: Clustering and Classification Inference with U-Statistics

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>.

Authors:Gabriela Cybis [aut, cre], Marcio Valk [aut], Kazuki Yokoyama [ctb], Debora Zava Bello [ctb]

uclust_1.0.0.tar.gz
uclust_1.0.0.tar.gz(r-4.5-noble)uclust_1.0.0.tar.gz(r-4.4-noble)
uclust_1.0.0.tgz(r-4.4-emscripten)uclust_1.0.0.tgz(r-4.3-emscripten)
uclust.pdf |uclust.html✨
uclust/json (API)
NEWS

# Install 'uclust' in R:
install.packages('uclust', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 156 downloads 454 mentions 13 exports 32 dependencies

Last updated 4 years agofrom:440a25b0b7. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-linuxOKMar 16 2025
R-4.4-linuxOKMar 16 2025

Exports:bnbn3is_homois_homo3plot_uhclustrep_optimBnuclustuclust3uhclustutestutest_classifyutest3var_bn

Dependencies:clicolorspacedendextendfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrobcorscalestibbleutf8vctrsviridisviridisLitewithr

Citation

To cite package ‘uclust’ in publications use:

Cybis G, Valk M (2021). uclust: Clustering and Classification Inference with U-Statistics. R package version 1.0.0, https://CRAN.R-project.org/package=uclust.

Corresponding BibTeX entry: 

  @Manual{,
    title = {uclust: Clustering and Classification Inference with
      U-Statistics},
    author = {Gabriela Cybis and Marcio Valk},
    year = {2021},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=uclust},
  }

Readme and manuals

Uclust: Clustering and Classification Inference for HDLSS Data with U-Statistics

Package may be downloaded on CRAN

Clustering and classification inference for high dimension low sample size 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.

The package contains functions for nonparametric tests:

  • Bn test for group separation with 2 or 3 predefined groups
  • Overall group homogeneity testing
  • Clustering of a sample into the best two our three significant subgroups
  • Hierarchical clustering considering only significant subgroups
  • Significant classification of a new observation into one of two predefined groups