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 |