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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:440a25b0b7. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
Exports:bnbn3is_homois_homo3plot_uhclustrep_optimBnuclustuclust3uhclustutestutest_classifyutest3var_bn
Dependencies:clicolorspacedendextendfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrobcorscalestibbleutf8vctrsviridisviridisLitewithr
