Package: SensMap
Type: Package
Title: Sensory and Consumer Data Mapping
Version: 0.2
Date: 2017-09-13
Author: Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
Maintainer: Ibtihel Rebhi <ibtihel.rebhi@enit.utm.tn>
URL: https://github.com/IbtihelRebhi/SensMap
Description: External preference mapping technique is commonly used in sensory analysis
field to explain consumer preferences in function of sensory attributes of products
Danzart (1998) (<https://www.lavoisier.fr/livre/agro-alimentaire/evaluation-
sensorielle-3e-ed/depledt/descriptif-9782743009977>). 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.
Depends: R (>= 3.0.0), stats, grDevices, graphics
Imports: ggfortify, doBy, lattice, FactoMineR, MCMCpack, factoextra,
fields, ggdendro, glmulti, mgcv, plotly, shiny, ggplot2
License: GPL (>= 2)
LazyData: TRUE
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-09-25 15:00:07 UTC; Admin
Repository: CRAN
Date/Publication: 2017-09-25 17:38:03 UTC

Package: SensMap
Type: Package
Title: Sensory and Consumer Data Mapping
Version: 0.3
Date: 2017-09-13
Author: Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
Maintainer: Ibtihel Rebhi <ibtihel.rebhi@enit.utm.tn>
URL: https://github.com/IbtihelRebhi/SensMap
Description: 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.
Depends: R (>= 3.0.0), stats, grDevices, graphics
Imports: ggfortify, doBy, lattice, FactoMineR, MCMCpack, factoextra,
fields, ggdendro, glmulti, mgcv, plotly, shiny, ggplot2
License: GPL (>= 2)
LazyData: TRUE
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-09-25 22:45:23 UTC; Admin
Repository: CRAN
Date/Publication: 2017-09-26 04:49:36 UTC