IbtihelRebhi/SensMap: Sensory and Consumer Data Mapping

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.

Getting started

Package details

AuthorIbtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
MaintainerIbtihel Rebhi <[email protected]>
LicenseGPL (>= 2)
Version0.3
URL https://github.com/IbtihelRebhi/SensMap
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("IbtihelRebhi/SensMap")
IbtihelRebhi/SensMap documentation built on Sept. 26, 2017, 11:19 p.m.