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ClustBlock

6.1.0Package record

Clustering of Datasets

0packages depend
5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Hierarchical and partitioning algorithms to cluster blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. Different thresholds per cluster can be sets. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) doi:10.1016/j.foodqual.2018.05.013, Llobell, Vigneau & Qannari (2019) doi:10.1016/j.foodqual.2019.02.017) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) doi:10.1016/j.foodqual.2018.09.006, Llobell, Giacalone, Labenne & Qannari (2019) doi:10.1016/j.foodqual.2019.05.017) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data (Llobell, Bonnet & Giacalone (2024) doi:10.1111/joss.12941) . Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RATA, Free Sorting and JAR experiments are available. Clustering of observations (products in sensory analysis) in multi-block context (notably with ClusMB strategy) is also included (Llobell & Giacalone (2025) doi:10.1111/joss.70024).Performing clustering based on CATA and liking at the same time is possible thanks to cluscata_liking function (Vigneau, Cariou, Giacalone, Berget & Llobell (2022) doi:10.1016/j.foodqual.2021.104358). Clustering of variables (quantitative, qualitative or mixed) can be done thanks to the MixCluStatis() function. Clustering on JAR + Liking can be achieved thanks to preprocess_JAR_liking function.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-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 OK2026-03-10
Advisories

none known

Documentation

In release 6.1.0
READMENoVignettesNoNEWSYes · 33% structuredCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
56includes a package overview page
Examples that run
69%29 run in a plain check · 13 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
96%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
64%

Downloads

5K
CRAN downloads in the past year
Rank #6,079 · ~14/day · ~416/mo
Daily download trend is not available in this view yet.
53730 days
1.4K90 days
5K1 year
Compare downloads with other packages →
Also on116 r2u11 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing ClustBlock adds 102 packages (54 with compiled code, 88 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 3.5
Imports (1)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2019)
SensElevation
Contributor
Oniris
Contributor
Oniris
Contributor
Oniris
Releases (20)

Pick two releases to compare their code metrics.

  • 6.1.0Latest
    record
    2026-09-05 · current release · diff ↗ ·
    added 1 export
    preprocess_JAR_liking
  • 6.0.0
    record
    2026-06-04 · diff ↗ ·
    added 1 export
    mixclustatis
  • R
    R 4.6.0 released · 2026-04-24
  • 5.0.0
    record
    2026-03-24 · diff ↗ ·
    added 2 exports
    cluscata_liking, combinCATALiking
  • 4.1.1
    record
    2025-06-11 · diff ↗
  • 4.1.0
    record
    2025-05-13 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 4.0.0
    record
    2024-05-21 · diff ↗ ·
    added 4 exports
    ClusMB, cluscata_rata, clustRowsOnStatisAxes, indicesClusters
  • R
    R 4.4.0 released · 2024-04-24
  • 3.2.0
    record
    2023-08-30 · diff ↗ ·
    added 1 export
    catatis_rata
  • 3.1.1
    record
    2023-06-29 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 3.1.0
    record
    2023-03-05 · diff ↗
  • 3.0.0
    record
    2022-09-08 · diff ↗ ·
    added 5 exports
    catatis_jar, change_cata_format2, cluscata_jar, cluscata_kmeans_jar, preprocess_JAR
  • R
    R 4.2.0 released · 2022-04-22
  • 2.4.1
    record
    2022-03-31 · diff ↗
Show 13 earlier eventsHide 13 earlier events
  • 2.4.0
    record
    2021-06-22 · diff ↗ ·
    added 1 export
    simil_groups_cata
  • R
    R 4.1.0 released · 2021-05-18
  • 2.3.1
    record
    2020-11-21 · diff ↗
  • 2.3.0
    record
    2020-11-16 · diff ↗
  • 2.2.1
    record
    2020-10-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 2.2.0
    record
    2020-04-23 · diff ↗ ·
    added 1 export
    consistency_cata_panel
  • 2.1.1
    record
    2019-11-29 · diff ↗
  • 2.1.0
    record
    2019-11-07 · diff ↗ ·
    added 1 export
    clustatis_FreeSort_kmeans
  • 2.0.0
    record
    2019-07-08 · diff ↗ ·
    added 1 export
    consistency_cata
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.0
    record
    2019-03-06
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-03-06
Total releases
20 / 7 yrs
License
MIT + file LICENSE OSI · relicensed from GPL-3 in 4.1.0
Minimum R
≥ 3.5
Bundled data
18 KB / 9 files
Download size
101 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ClustBlock")

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 ClustBlock version 6.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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