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iClusterVB

0.1.4Package record

Fast Integrative Clustering and Feature Selection for High Dimensional Data

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK13 OK2026-05-02
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.4
READMEYes · 913 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
14%

Downloads

2.5K
CRAN downloads in the past year
Rank #14,883 · ~7/day · ~208/mo
Daily download trend is not available in this view yet.
26630 days
80590 days
2.5K1 year
Compare downloads with other packages →
Also on369 r2u9 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
105Commits
1Commit identities
105 commits · Last activity 2024-12-07
Responsiveness
not measured

Stars over time

2024-09-19 · 12026-07-07 · 1
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/abdalkarima/iclustervb on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing iClusterVB adds 64 packages (36 with compiled code, 51 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)
R >= 4.0.0
LinkingTo (2)
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.1 (2024), Copyright holder
Author
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
  • unarchivedReturned to CRAN
    2024-12-09
  • 0.1.4Latest
    record
    2024-12-09 · current release · diff ↗
  • archivedRemoved from CRAN
    2024-12-05
    issues were not corrected even on re-submission Use-after-free errors yet again
  • unarchivedReturned to CRAN
    2024-12-04
  • 0.1.3
    record
    2024-12-04 · diff ↗
  • archivedRemoved from CRAN
    2024-11-14
    issues were not corrected in time
  • unarchivedReturned to CRAN
    2024-08-20
  • 0.1.2
    record
    2024-08-20 · diff ↗
  • archivedRemoved from CRAN
    2024-08-19
    issues were not corrected in time
  • 0.1.1
    record
    2024-07-30
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-30
Total releases
4 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
2.0 MB / 2 files
Download size
2.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iClusterVB")
Alnajjar, A., & Lu, Z. (2024). iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.iClusterVB

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 iClusterVB version 0.1.4 [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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