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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ClustBlock" in publications use:'
type: software
license: MIT
title: 'ClustBlock: Clustering of Datasets'
version: 6.0.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ClustBlock
abstract: 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) <https://doi.org/10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau
  & Qannari (2019) <https://doi.org/10.1016/j.foodqual.2019.02.017>) and the CLUSCATA
  method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari
  (2019) <https://doi.org/10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne
  & Qannari (2019) <https://doi.org/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) <https://doi.org/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) <https://doi.org/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) <https://doi.org/10.1016/j.foodqual.2021.104358>).
  Clustering of variables (quantitative, qualitative or mixed) can be done thanks
  to the MixCluStatis() function.
authors:
- family-names: Llobell
  given-names: Fabien
  email: fabienllobellresearch@gmail.com
preferred-citation:
  type: manual
  title: 'ClustBlock: Clustering of Datasets'
  authors:
  - family-names: Llobell
    given-names: Fabien
    email: fabienllobellresearch@gmail.com
  - family-names: Vigneau
    given-names: Evelyne
  - family-names: Cariou
    given-names: Veronique
  - family-names: Qannari
    given-names: El Mostafa
  year: '2026'
  notes: R package version 6.0.0
repository: https://fabienllobellresearch.r-universe.dev
commit: 6e770449ea3e2f83a72471c08d2ca60a4dba7708
date-released: '2026-06-04'
contact:
- family-names: Llobell
  given-names: Fabien
  email: fabienllobellresearch@gmail.com