SensMixed: Analysis of Sensory and Consumer Data in a Mixed Model Framework

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 GUI for the functionalities.

Version: 2.0-10
Depends: R (≥ 3.0.0), stats, methods, lmerTest
Imports: Hmisc, plyr, doBy, xtable, reshape2, ggplot2, shiny, shinyBS, lme4 (≥ 1.1)
Suggests: pbkrtest, parallel
Published: 2016-07-13
Author: Alexandra Kuznetsova [aut, cre], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut]
Maintainer: Alexandra Kuznetsova <alku at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: SensMixed results


Reference manual: SensMixed.pdf
Package source: SensMixed_2.0-10.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: SensMixed_2.0-10.tgz
OS X Mavericks binaries: r-oldrel: SensMixed_2.0-10.tgz
Old sources: SensMixed archive


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