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IBclust

1.4

Information Bottleneck Methods for Clustering Mixed-Type Data

0packages depend
2.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Angelos MarkosFirst published 2025-07-104 releasesCRAN page ↗

Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing continuous, categorical (nominal/ordinal) and mixed-type variables. The package provides deterministic, agglomerative, generalised, sequential, and standard IB clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2026) doi:10.1016/j.patcog.2026.113580. The standard IB method originates from Tishby et al. (2000) doi:10.48550/arXiv.physics/0004057, the agglomerative variant from Slonim and Tishby (1999) https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck, the generalised IB from Strouse and Schwab (2017) doi:10.1162/NECO_a_00961, and the sequential IB from Slonim et al. (2002) doi:10.1145/564376.564401.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • 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
READMEYes · 194 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
43%

Downloads

2.6K
CRAN downloads in the past year
Rank #8,765 · ~7/day · ~218/mo
Daily download trend is not available in this view yet.
22030 days
1.1K90 days
2.6K1 year
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Also on408 r2u1 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (6)
RcppstatsutilsnprjeRdpack
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

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.

  • 1.4Latest
    2026-07-14 · current release · diff ↗
  • 1.3
    2026-05-11 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.1
    2025-09-19 · diff ↗
  • 1.2
    2025-07-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-10
Total releases
4 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Download size
143 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IBclust")
Markos, A., Costa, E., & Papatsouma, I. (2026). IBclust: Information Bottleneck Methods for Clustering Mixed-Type Data (Version 1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.IBclust

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 IBclust version 1.4 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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