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sensR: Thurstonian Models for Sensory Discrimination

Provides methods for sensory discrimination methods; duotrio, tetrad, triangle, 2-AFC, 3-AFC, A-not A, same-different, 2-AC and degree-of-difference. This enables the calculation of d-primes, standard errors of d-primes, sample size and power computations, and comparisons of different d-primes. Methods for profile likelihood confidence intervals and plotting are included. Most methods are described in Brockhoff, P.B. and Christensen, R.H.B. (2010) <doi:10.1016/j.foodqual.2009.04.003>.

Version: 1.5-3
Imports: multcomp, MASS, numDeriv
Suggests: ordinal, parallel, testthat (≥ 0.8)
Published: 2023-10-31
DOI: 10.32614/CRAN.package.sensR
Author: Rune Haubo Bojesen Christensen [aut], Per Bruun Brockhoff [aut], Alexandra Kuznetsova [ctb], Sophie Birot [ctb], Karolina Amelia Stachlewska [ctb], Dominik Rafacz [cre]
Maintainer: Dominik Rafacz <dominik.rafacz at aigora.com>
BugReports: https://github.com/aigorahub/sensR/issues
License: GPL-2 | GPL-3
URL: https://github.com/aigorahub/sensR
NeedsCompilation: no
Materials: NEWS
CRAN checks: sensR results

Documentation:

Reference manual: sensR.pdf
Vignettes: Statistical Methods
Examples for 2-AC paper

Downloads:

Package source: sensR_1.5-3.tar.gz
Windows binaries: r-devel: sensR_1.5-3.zip, r-release: sensR_1.5-3.zip, r-oldrel: sensR_1.5-3.zip
macOS binaries: r-release (arm64): sensR_1.5-3.tgz, r-oldrel (arm64): sensR_1.5-3.tgz, r-release (x86_64): sensR_1.5-3.tgz, r-oldrel (x86_64): sensR_1.5-3.tgz
Old sources: sensR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sensR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.