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 are provided. 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 for the functionalities forms part of the package.

Version: 2.0-8
Depends: stats, methods, lmerTest
Imports: Hmisc, parallel, plyr, doBy, xtable, reshape2, ggplot2, shiny, shinyBS, lme4
Suggests: pbkrtest
Published: 2015-08-23
Author: Alexandra Kuznetsova [aut, cre], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut]
Maintainer: Alexandra Kuznetsova <alku at dtu.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SensMixed results

Downloads:

Reference manual: SensMixed.pdf
Package source: SensMixed_2.0-8.tar.gz
Windows binaries: r-devel: SensMixed_2.0-8.zip, r-release: SensMixed_2.0-8.zip, r-oldrel: SensMixed_2.0-8.zip
OS X Snow Leopard binaries: r-release: SensMixed_2.0-8.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: SensMixed_2.0-8.tgz