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
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:

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