Authors@R: c(person("Julien", "Boelaert", role= c("aut", "cre"), email="julien.boelaert@univ-lille.fr"),
person("Arnaud", "Lemba Kote", role= "ctb"),
Description: Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM, as well as tools to evaluate the quality of SOM.
Imports: kohonen, shiny, htmlwidgets, rmarkdown, htmltools, rclipboard,
RColorBrewer, viridis, data.table, DT, kernlab, stats, cluster,

Description: Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM on numeric, categorical or mixed data, as well as tools to evaluate the quality of SOM.

Imports: kohonen (>= 2.0), shiny (>= 1.6), htmlwidgets, bslib,
rmarkdown, htmltools, rclipboard, ggplot2, RColorBrewer,
viridis, data.table, DT, kernlab, fields, stats, cluster,

Title: Convert Dates to Arbitrary Week Definitions
Authors@R: person(c("Zhian N."), "Kamvar", email = "zkamvar@gmail.com", role = c("aut", "cre"))
Description: Which day a week starts depends heavily on the either the local or
professional context. This package is designed to be a lightweight solution
to easily switching between week-based date definitions.
Suggests: testthat, roxygen2, knitr, covr

Suggests: testthat, stats, roxygen2, knitr, covr, spelling

Suggests: testthat, stats, roxygen2, knitr, rmarkdown, covr, spelling

Description: The library contains R-functions to perform the
adaptive weights smoothing (AWS) procedure described in
Polzehl und Spokoiny (2000), Adaptive weights smoothing with
applications to image restoration. Journal of the Royal Statistical
License: Free for non-commercial use, see the file COPYRIGHT for details.
This library is Copyright (C) 2000 Weierstrass Institute for