Title: Group Lasso Penalized Learning Using a Unified BMD Algorithm
Description: 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>.

role = c("aut"), comment = "http://sahirbhatnagar.com/")

Description: Provides multiple palettes based on pride flags with tailored themes.

Author: Laura Bakala [cre, aut, cph] (<https://orcid.org/0000-0002-3213-2484>)

Title: Grammar of Graphics for Linear Model Diagnostic Plots
person("Grayson", "White", email = "graysonwhite13@gmail.com", role = c("cre","aut")))
Description: 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.
Packaged: 2020-10-02 16:30:01 UTC; graysonwhite

Description: Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics.
Imports: broom, broom.mixed, dplyr, metafor, patchwork, purrr, tibble,
Author: Grayson White [aut, cre] (<https://orcid.org/0000-0003-4993-2792>)

person("GGobi Foundation", role = "aut"))
Imports: ggplot2 (>= 2.0.0), grid, jpeg, plyr, dplyr, magrittr, purrr,
Description: Visualize sequences in (modified) logo plots. The design choices
used by these logo plots allow sequencing data to be more easily analyzed.
Because it is integrated into the 'ggplot2' geom framework, these logo plots
support native features such as faceting.
Collate: 'logos.r' 'text.r' 'thin.r' 'data.r' 'alphabet.r' 'position.r'

person("Eric", "Hare", email = "eric@oaiti.org", role = c("aut", "cre")),

Imports: ggplot2 (>= 2.0.0), grid, jpeg, plyr, dplyr, tidyr, magrittr,

Authors@R: person("Luke", "Smith", email = "luke@protocolvital.info",
Description: Pass a data frame and mapping aesthetics to ggloop() in order
to create a list of 'ggplot2' plots. The way x-y and dots are paired together
is controlled by the remapping arguments. Geoms, themes, facets, and other
features can be added with the special %L+% (L-plus) operator.
Imports: plyr, ggplot2, magrittr, lazyeval, assertthat