Package: SensMap
Type: Package
Title: Sensory and Consumer Data Mapping
Version: 0.4
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: 2017-09-29 22:37:47 UTC; Admin
Repository: CRAN
Date/Publication: 2017-09-30 16:20:32 UTC

Package: SensMap
Type: Package
Title: Sensory and Consumer Data Mapping
Version: 0.5
Date: 2018-01-29
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 connect consumer rating data that contains liking scores to sensory data
that consists of sensory attributes evaluations of the perceived products
Danzart(1998) (<doi:10.1006/fstl.1998.0373>). SensMap package provides the
mapping visualization 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 LOESS algorithm is available. A selection process
of maps 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.
Depends: R (>= 3.0.0), stats, grDevices, graphics
Imports: 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: 2018-01-29 14:49:49 UTC; Admin
Repository: CRAN
Date/Publication: 2018-01-29 23:34:30 UTC