Skip to content

SCBiclust

1.0.2Package record

Identifies Mean, Variance, and Hierarchically Clustered Biclusters

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 1.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
91%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #21,949 · ~7/day · ~226/mo
Daily download trend is not available in this view yet.
23830 days
60190 days
2.7K1 year
Compare downloads with other packages →
Also on73 r2u2 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing SCBiclust adds 2 packages (1 with compiled code, 22 KB of source tarballs). Heaviest: sparcl 14 KB, sigclust 7.7 KB.

Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (5)
Author, Maintainer since 1.0.0 (2019)
Author
Author
Listed in earlier versions (2)
Helgeson
no longer listed · 1.0.2
Kosorok
no longer listed · 1.0.2
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    record
    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
    record
    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
    record
    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 · relicensed from GPL (>= 2) in 1.0.2
Download size
8.5 KB

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 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 SCBiclust version 1.0.2 [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.

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