cata: Analysis of Check-All-that-Apply (CATA) Data

Functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis provided, as described in for CATA data analysis by Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis. The quality of cluster analysis solutions can be evaluated using various measures. The methods related to b-cluster analysis are described in a manuscript by Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Methods are adapted to product-related hedonic responses by Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>.

Depends: R (≥ 4.2.0)
Imports: stats, utils, graphics
Published: 2024-04-19
DOI: 10.32614/CRAN.package.cata
Author: J.C. Castura ORCID iD [aut, cre, ctb]
Maintainer: J.C. Castura <jcastura at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: cata citation info
CRAN checks: cata results


Reference manual: cata.pdf


Package source: cata_0.1.0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cata_0.1.0.6.tgz, r-oldrel (arm64): cata_0.1.0.6.tgz, r-release (x86_64): cata_0.1.0.6.tgz, r-oldrel (x86_64): cata_0.1.0.6.tgz
Old sources: cata archive


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