c(
person("Claus O.", "Wilke", , "wilke@austin.utexas.edu", c("cre", "aut")))

Group Lasso Penalized Learning Using A Unified BMD Algorithm
This package implements a unified algorithm,
blockwise-majorization-decent (BMD), for efficiently computing
the solution paths of the group-lasso penalized least squares,
logistic regression, Huberized SVM and squared SVM.

This package implements a unified algorithm, blockwise-majorization-decent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM.

Group Lasso Penalized Learning Using a Unified BMD Algorithm
A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>.

c(
person("Yi", "Yang", email = "yi.yang6@mcgill.ca",
role = c("aut", "cre"), comment = "http://www.math.mcgill.ca/yyang/"),
person("Hui", "Zou", email = "hzou@stat.umn.edu",
role = c("aut"), comment = "http://users.stat.umn.edu/~zouxx019/"),
person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
role = c("aut"), comment = "http://sahirbhatnagar.com/")
)
Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/),
Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/),
Sahir Bhatnagar [aut] (http://sahirbhatnagar.com/)

c(person("Laura", "Bakala",
email = "erdaradun.gaztea@gmail.com",
role = c("cre", "aut", "cph")))
Provides multiple palettes based on pride flags with tailored themes.

c(person("Laura", "Bakala",
email = "erdaradun.gaztea@gmail.com",
role = c("cre", "aut", "cph"),
comment = c(ORCID = "0000-0002-3213-2484")))
Laura Bakala [cre, aut, cph] (<https://orcid.org/0000-0002-3213-2484>)

Grammar of Graphics for Linear Model Diagnostic Plots
c(
person("Grayson", "White", email = "graysonwhite13@gmail.com", role = c("cre","aut")))
Allows for easy creation of diagnostic plots for linear models using the Grammar of Graphics.
Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.