broom, dplyr, ggplot2, magrittr, methods, mvtnorm, Rcpp,
rlang, stats, tibble, tidyr, tidyselect

c(
person("Arthur", "Leroy", , "arthur.leroy.pro@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0806-8934")),
person("Pierre", "Latouche", , "pierre.latouche@gmail.com", role = "aut"),
person("Pierre", "Pathé", , "pathepierre@gmail.com", role = "ctb"),
person("Alexia", "Grenouilla", , "grenouil@insa-toulouse.fr", role = "ctb"),
person("Hugo", "Lelievre", , "lelievre@insa-toulouse.fr", role = "ctb")
)
broom, dplyr, ggplot2, magrittr, methods, mvtnorm, plyr,
purrr, Rcpp, rlang, stats, tibble, tidyr, tidyselect
Arthur Leroy [aut, cre] (<https://orcid.org/0000-0003-0806-8934>),
Pierre Latouche [aut],
Pierre Pathé [ctb],
Alexia Grenouilla [ctb],
Hugo Lelievre [ctb]

Magnetic Laplacian Matrix and Magnetic Eigenmap Visualization
Constructs the normalized magnetic Laplacian Matrix of a square matrix, returns the eigenvectors and visualization of magnetic eigenmap.

c(
person("Etienne", "Camenen", , "etienne.camenen@gmail.com", role = c("aut", "cre")),
person("Baptiste", "Couvy-Duchesne", role = "aut")
)
Shiny for Open Science to visualize, share, and inventory the
main existing human datasets for researchers.
config, dplyr, DT, glue, golem, grDevices, htmltools,
htmlwidgets, magrittr, openxlsx, pkgload, processx, rlang, sf,
shiny, spData, tidyr, tmap, tmaptools, utils
Etienne Camenen [aut, cre],
Baptiste Couvy-Duchesne [aut]

k-Means Algorithm with a Majorization-Minimization Method
c(person("Sheikhi", "Ayyub", email = "sheikhy.a@uk.ac.ir", role = c("aut", "cre")),
person("Yaghoubi", "Mohammad Ali", email = "yaghoobi@uk.ac.ir", role = "aut"))
A hybrid of the K-means algorithm and a Majorization-Minimization method to introduce a robust clustering. The reference paper is: Julien Mairal, (2015) <doi:10.1137/140957639>. The two most important functions in package 'MajKMeans' are cluster_km() and cluster_MajKm(). cluster_km() clusters data without Majorization-Minimization and cluster_MajKm() clusters data with Majorization-Minimization method. Both of these functions calculate the sum of squares (SS) of clustering.
Sheikhi Ayyub [aut, cre],
Yaghoubi Mohammad Ali [aut]