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.


News

2.0-9 changes:

  • fixed plots in order to pass check (due to new version of ggplot2)

2.0-10:

  • main feature - conjoint is now part of the SensMixed package

  • added tests for the conjoint function

  • for the sensmixed function: changed the options, simplified the arguments (more user friendly). Changed accordingly the manual

  • in plot.sensmixed added option for the stacked barplots (sorted bars). (see the manual of how to use it)

  • the shiny version SensMixedUI() is changed accordingly

Reference manual

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install.packages("SensMixed")

2.0-10 by Alexandra Kuznetsova, a year ago


Browse source code at https://github.com/cran/SensMixed


Authors: Alexandra Kuznetsova [aut, cre], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Hmisc, plyr, doBy, xtable, reshape2, ggplot2, shiny, shinyBS, lme4

Depends on stats, methods, lmerTest

Suggests pbkrtest, parallel


See at CRAN