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HDLSSkST

2.1.0Package record

Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests

0packages dependsuggested by 1
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Testing homogeneity of k multivariate distributions is a classical and challenging problem in statistics, and this becomes even more challenging when the dimension of the data exceeds the sample size. We construct some tests for this purpose which are exact level (size) alpha tests based on clustering. These tests are easy to implement and distribution-free in finite sample situations. Under appropriate regularity conditions, these tests have the consistency property in HDLSS asymptotic regime, where the dimension of data grows to infinity while the sample size remains fixed. We also consider a multiscale approach, where the results for different number of partitions are aggregated judiciously. Details are in Biplab Paul, Shyamal K De and Anil K Ghosh (2021) doi:10.1016/j.jmva.2021.104897; Soham Sarkar and Anil K Ghosh (2019) doi:10.1109/TPAMI.2019.2912599; William M Rand (1971) doi:10.1080/01621459.1971.10482356; Cyrus R Mehta and Nitin R Patel (1983) doi:10.2307/2288652; Joseph C Dunn (1973) doi:10.1080/01969727308546046; Sture Holm (1979) doi:10.2307/4615733; Yoav Benjamini and Yosef Hochberg (1995) <doi: 10.2307/2346101>.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
100%13 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

Downloads

2.7K
CRAN downloads in the past year
Rank #17,279 · ~7/day · ~223/mo
Daily download trend is not available in this view yet.
27430 days
73490 days
2.7K1 year
Compare downloads with other packages →
Also on355 r2u4 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing HDLSSkST adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (0)
none
Imports (3)
Rcppstatsutils
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (3)
Author, Maintainer since 1.0 (2020)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 2.1.0Latest
    record
    2022-02-02 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.0
    record
    2021-01-05 · diff ↗
  • 1.0.1
    record
    2020-08-07 · diff ↗
  • 1.0
    record
    2020-08-04
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-08-04
Total releases
4 / 6 yrs
License
GPL (>= 2) OSI
Download size
15 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HDLSSkST")
Paul, B., De, S. K., & Ghosh, A. K. (2022). HDLSSkST: Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests (Version 2.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.HDLSSkST

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for HDLSSkST version 2.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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