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.

Getting started

Package details

AuthorIbtihel Rebhi [aut, cre], Dhafer Malouche [ctb]
MaintainerIbtihel Rebhi <ibtihel.rebhi@enit.utm.tn>
LicenseGPL (>= 2)
Version0.7
URL https://github.com/IbtihelRebhi/SensMap
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SensMap")

Try the SensMap package in your browser

Any scripts or data that you put into this service are public.

SensMap documentation built on July 5, 2022, 1:09 a.m.