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>.

Version:	0.1.0.6
Depends:	R (≥ 4.2.0)
Imports:	stats, utils, graphics
Published:	2024-04-19
Author:	J.C. Castura [aut, cre, ctb]
Maintainer:	J.C. Castura <jcastura at compusense.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://CRAN.R-project.org/package=cata
NeedsCompilation:	no
Citation:	cata citation info
CRAN checks:	cata results

Documentation:

Reference manual:

cata.pdf

Downloads:

Package source:	cata_0.1.0.6.tar.gz
Windows binaries:	r-devel: cata_0.1.0.6.zip, r-release: cata_0.1.0.6.zip, r-oldrel: cata_0.1.0.6.zip
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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