SensMap: Sensory and Consumer Data Mapping
Provides Sensory and Consumer Data mapping and analysis <doi:10.14569/IJACSA.2017.081266>. The mapping visualization is made available from several features : options in dimension reduction methods and prediction models ranging from linear to non linear regressions. A smoothed version of the map performed using locally weighted regression algorithm is available. A selection process of map stability 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 also made available.
| Version: | 0.7 |
| Depends: | R (≥ 4.0), stats, grDevices, graphics |
| Imports: | doBy,lattice,FactoMineR,MCMCpack,factoextra,fields,ggdendro,glmulti,mgcv,plotly,shiny,ggplot2,reshape2 |
| Suggests: | testthat |
| Published: | 2022-07-04 |
| DOI: | 10.32614/CRAN.package.SensMap |
| Author: | Ibtihel Rebhi [aut, cre], Dhafer Malouche [ctb] |
| Maintainer: | Ibtihel Rebhi <ibtihel.rebhi at enit.utm.tn> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/IbtihelRebhi/SensMap |
| NeedsCompilation: | no |
| CRAN checks: | SensMap results |
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