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 |
Reference manual: | SensMap.pdf |
Package source: | SensMap_0.7.tar.gz |
Windows binaries: | r-devel: SensMap_0.7.zip, r-release: SensMap_0.7.zip, r-oldrel: SensMap_0.7.zip |
macOS binaries: | r-release (arm64): SensMap_0.7.tgz, r-oldrel (arm64): SensMap_0.7.tgz, r-release (x86_64): SensMap_0.7.tgz, r-oldrel (x86_64): SensMap_0.7.tgz |
Old sources: | SensMap archive |
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