person("Jose", "Valls", email = "jvalls@inf.uc3m.es", role = c("aut")),
person("Ines", "Galvan", email = "igalvan@inf.uc3m.es", role = c("aut")),
person("David", "Camacho", email = "david.camacho@upm.es", role = c("aut"))
Suggests: dplyr, knitr, rmarkdown, ggplot2, ggridges, tidyr, forcats,

The aim is similar to that of Principal Component Analysis (PCA), that is, to carry out data transformation and dimensionality reduction, but in a supervised way.
It uses the nnet package under the hood.

Valls, J.M., Aler, R., Galvan, I.M., and Camacho, D. (2021). "Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems". <doi:10.1007/s12652-020-02841-y>

Authors@R: person("Sean", "Warlick", email = "warlick.sean@gmail.com",
Description: Provides a small set of tools for collecting data from National
Oceanic and Atmospheric Administration (NOAA) data sources.  The functions
provided in the package are wrappers around NOAA's existing APIs which is
Suggests: testthat, covr, knitr, rmarkdown, dplyr, httptest, ggplot2,
Packaged: 2019-02-03 22:01:11 UTC; SeanWarlick

Packaged: 2019-12-01 02:17:30 UTC; SeanWarlick

Title: Explore NOAA Storm Events Database
email = "zailchen17@icloud.com", role = "aut"))
Description: Allows users to explore and plot data from the
National Oceanic and Atmospheric Administration (NOAA)
Storm Events database through R for United States counties.
Functionality includes matching storm event listings by time and
location to hurricane best tracks data. This work was
supported by grants from the Colorado Water Center, the National Institute
of Environmental Health Sciences (R00ES022631) and the National Science
Imports: choroplethr (>= 3.6.1), choroplethrMaps (>= 1.0.1), data.table
Suggests: hurricaneexposuredata (>= 0.0.2), knitr (>= 1.16.0), pander

Imports: choroplethr (>= 3.6.3), choroplethrMaps (>= 1.0.1), data.table
Suggests: hurricaneexposuredata (>= 0.0.2), knitr (>= 1.22.0), pander
Packaged: 2019-04-02 23:26:44 UTC; georgianaanderson