Functions that facilitate analysis of Sensory as well as Consumer data within a mixed effects model framework. The so-called mixed assessor models, that correct for the scaling effect are implemented. The generation of the d-tilde plots forms part of the package. The shiny application provides a GUI for the functionalities.
| Version: | 2.1-0 |
| Depends: | R (≥ 3.0.0), stats, methods |
| Imports: | Hmisc, plyr, doBy, xtable, reshape2, ggplot2, shiny, shinyBS, lme4 (≥ 1.1), MASS |
| Suggests: | pbkrtest, parallel, estimability |
| Published: | 2018-03-14 |
| Author: | Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths, cre], Rune Haubo Bojesen Christensen [aut] |
| Maintainer: | Per Bruun Brockhoff <perbb at dtu.dk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | SensMixed results |
| Reference manual: | SensMixed.pdf |
| Package source: | SensMixed_2.1-0.tar.gz |
| Windows binaries: | r-devel: SensMixed_2.1-0.zip, r-devel-gcc8: SensMixed_2.1-0.zip, r-release: SensMixed_2.1-0.zip, r-oldrel: SensMixed_2.1-0.zip |
| OS X binaries: | r-release: SensMixed_2.1-0.tgz, r-oldrel: SensMixed_2.1-0.tgz |
| Old sources: | SensMixed archive |
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