Skip to content

SCBiclust

1.0.2

Identifies Mean, Variance, and Hierarchically Clustered Biclusters

0packages depend
2.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Erika S. HelgesonFirst published 2019-04-023 releasesCRAN page ↗

Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) doi:10.1111/biom.13136. 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
91%
Return-value docs
100%
References docs
0%

Downloads

2.8K
CRAN downloads in the past year
Rank #21,643 · ~8/day · ~232/mo
Daily download trend is not available in this view yet.
13030 days
52590 days
2.8K1 year
Compare downloads with other packages →
Also on112 r2u15 autocran

Dependencies

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

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Author · added in 1.0.2
Author
Listed in earlier versions (3)
no longer listed · 1.0.0 to 1.0.1
no longer listed · 1.0.2
no longer listed · 1.0.2
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2025-08-21 · current release · diff ↗
  • 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
  • 1.0.1
    2022-06-10 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.0
    2019-04-02
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-04-02
Total releases
3 / 7 yrs
License
MIT + file LICENSE OSI
Download size
8.5 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SCBiclust")
Helgeson, E. S., Bair, E., Chen, G., Kosorok, M. R., & Liu, Q. (2025). SCBiclust: Identifies Mean, Variance, and Hierarchically Clustered Biclusters (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.SCBiclust

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 SCBiclust version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy