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uclust
View on CRAN: Click
here
Download and install uclust package within the R console
Install from CRAN:
install.packages("uclust")
Install from Github:
library("remotes")
install_github("cran/uclust") Install by package version:
library("remotes")
install_version("uclust", "1.0.0") Attach the package and use:
library("uclust")
Maintained by
Gabriela Cybis
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-11
Latest Update: 2021-06-18
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) <doi:10.48550/arXiv.2106.09115>.
How to cite:
Gabriela Cybis (2019). uclust: Clustering and Classification Inference with U-Statistics. R package version 1.0.0, https://cran.r-project.org/web/packages/uclust. Accessed 20 Oct. 2026.
Previous versions and publish date:
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Other R packages that uclust depends,
imports, suggests or enhances
Complete documentation for uclust
Functions, R codes and Examples using
the uclust R package
Some associated functions: bn . bn3 . is_homo . is_homo3 . plot_uhclust . print.utest_classify . rep_optimBn . uclust . uclust3 . uhclust . utest . utest3 . utest_classify . var_bn .
Some associated R codes: 3functions.R . Bn.R . BnClustSig.R . Utest.R . Utest_class.R . bn3.R . boot_sigma.R . is_homo.R . is_homo3.R . testes.R . uclust3.R . uhclust.R . utest3.R . Full uclust package functions and examples
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