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IBclust

1.5Package record

Information Bottleneck Methods for Clustering Mixed-Type Data

0packages depend
2.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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. Diagnostic and plotting functions are provided to summarise, visualise, and predict from the resulting clusterings.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.5
READMEYes · 194 wordsVignettesNoNEWSNoCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
43% with a bibliography file

Downloads

2.9K
CRAN downloads in the past year
Rank #15,599 · ~8/day · ~238/mo
Daily download trend is not available in this view yet.
26230 days
78090 days
2.9K1 year
Compare downloads with other packages →
Also on381 r2u6 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing IBclust adds 13 packages (11 with compiled code, 14 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 3.5.0
Imports (6)
RcppstatsutilsnprjeRdpack
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.2 (2025)
Releases (5)

Pick two releases to compare their code metrics.

  • 1.5Latest
    record
    2026-08-28 · current release · diff ↗
  • 1.4
    record
    2026-07-14 · diff ↗ ·
    added 3 exports
    find_elbow, info_metrics, sIBmix
  • 1.3
    record
    2026-05-11 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.1
    record
    2025-09-19 · diff ↗ ·
    removed 8 exports
    DIBcont, DIBcat, IBcont, IBcat, GIBcont, GIBcat, AIBcont, AIBcat
  • 1.2
    record
    2025-07-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-10
Total releases
5 / 1 yrs
License
GPL (>= 3) OSI · relicensed from MIT + file LICENSE in 1.2.1
Minimum R
≥ 3.5.0
Download size
201 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("IBclust")

The package provides a citation file, so citation() returns the authors' own entry.

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 1.5 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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