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SensMap
View on CRAN: Click
here
Download and install SensMap package within the R console
Install from CRAN:
install.packages("SensMap")
Install from Github:
library("remotes")
install_github("cran/SensMap") Install by package version:
library("remotes")
install_version("SensMap", "0.7") Attach the package and use:
library("SensMap")
Maintained by
Ibtihel Rebhi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-23
Latest Update: 2022-07-04
Description:
Provides Sensory and Consumer Data
mapping and analysis . 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.
How to cite:
Ibtihel Rebhi (2017). SensMap: Sensory and Consumer Data Mapping. R package version 0.7, https://cran.r-project.org/web/packages/SensMap. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited SensMap R package
View SensMap citation profile
Other R packages that SensMap depends,
imports, suggests or enhances
Complete documentation for SensMap
Functions, R codes and Examples using
the SensMap R package
Some associated functions: PrefMap . SensMapUI . SmoothMap . StabMap . hedo_biscuit . sens_biscuit .
Some associated R codes: Bayes_model.R . GAM_model.R . GLM_model.R . LOESS_smoothing.R . Polynomial-model.R . PrefMap.R . SmoothMap.R . StabMap.R . discrt_space.R . map_ca.R . map_mfa.R . map_pca.R . shinySensMap.R . Full SensMap package functions and examples
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