External preference mapping technique is commonly used in sensory analysis field to explain consumer preferences in function of sensory attributes of products Danzart(1998) (<doi:10.1006/fstl.1998.0373>). The package provides map visualization with options in dimension reduction methods and prediction models from linear and non linear regressions. A smoothed version of the map performed using LOESS algorithm is available. A comparison approach of maps stability from different features before and after smoothing is provided. A 'shiny' application is included. It presents an easy GUI for the implemented functions as well as a comparative tool of fit models using several criteria. Basic analysis such as characterization of products, panelists and sessions likewise consumer segmentation are available.
Package details |
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Author | Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb] |
Maintainer | Ibtihel Rebhi <ibtihel.rebhi@enit.utm.tn> |
License | GPL (>= 2) |
Version | 0.3 |
URL | https://github.com/IbtihelRebhi/SensMap |
Package repository | View on GitHub |
Installation |
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