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.
||R (≥ 4.0), stats, grDevices, graphics
||doBy, lattice, FactoMineR, MCMCpack, factoextra, fields, ggdendro, glmulti, mgcv, plotly, shiny, ggplot2, reshape2
||Ibtihel Rebhi [aut, cre], Dhafer Malouche [ctb]
||Ibtihel Rebhi <ibtihel.rebhi at enit.utm.tn>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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