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HDLSSkST

2.1.0

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

1packages depend
2.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Biplab PaulFirst published 2020-08-044 releasesCRAN page ↗

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: 2.8 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #15,905 · ~7/day · ~213/mo
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17130 days
67990 days
2.6K1 year
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Also on387 r2u23 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (3)
Rcppstatsutils
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
    2022-02-02 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.0
    2021-01-05 · diff ↗
  • 1.0.1
    2020-08-07 · diff ↗
  • 1.0
    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
Installed size
not tracked yet
With dependencies
not tracked yet

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

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Cite the R Observatory

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for HDLSSkST version 2.1.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

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