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 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

Downloads:

Reference manual: SensMixed.pdf
Package source: SensMixed_2.1-0.tar.gz
Windows binaries: r-devel: 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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