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.
| Version: | 1.5-2 |
| Imports: | multcomp, MASS, numDeriv |
| Suggests: | ordinal, parallel, testthat (≥ 0.8) |
| Published: | 2020-02-10 |
| Author: | Rune Haubo Bojesen Christensen [aut], Per Bruun Brockhoff [aut, cre], Alexandra Kuznetsova [ctb], Sophie Birot [ctb], Karolina Amelia Stachlewska [ctb] |
| Maintainer: | Per Bruun Brockhoff <perbb at dtu.dk> |
| BugReports: | https://github.com/perbrock/sensR/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://github.com/perbrock/sensR |
| NeedsCompilation: | no |
| Citation: | sensR citation info |
| Materials: | NEWS |
| CRAN checks: | sensR results |
| Reference manual: | sensR.pdf |
| Vignettes: |
Statistical Methods Examples for 2-AC paper |
| Package source: | sensR_1.5-2.tar.gz |
| Windows binaries: | r-devel: sensR_1.5-2.zip, r-release: sensR_1.5-2.zip, r-oldrel: sensR_1.5-2.zip |
| macOS binaries: | r-release: sensR_1.5-2.tgz, r-oldrel: sensR_1.5-2.tgz |
| Old sources: | sensR archive |
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