Packaged: 2019-04-27 20:08:34 UTC; pamela.russell

Title: Convenience Functions for Routine Data Exploration
Description: A series of shortcuts for routine tasks originally developed by Rafael A. Irizarry to facilitate data exploration.
Author: Rafael A. Irizarry and Michael I. Love

Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance
2D drawing library. The 'ragg' package provides a set of graphic devices
based on AGG to use as alternative to the raster devices provided through
SystemRequirements: C++11, GNU Make, pkg-config, freetype2 libpng
Suggests: knitr, rmarkdown, ggplot2, devoid, bench, rlang, tidyr,
ggridges, hexbin, dplyr, sessioninfo, magick
Maxim Shemanarev [aut, cph] (Author of AGG),
Tony Juricic [ctb, cph] (Contributor to AGG),
Milan Marusinec [ctb, cph] (Contributor to AGG),
Spencer Garrett [ctb] (Contributor to AGG),

SystemRequirements: C++11, GNU Make, freetype2 libpng

SystemRequirements: C++11, freetype2, libpng, libtiff, libjpeg
Suggests: covr, testthat, grid, graphics

Imports: systemfonts (>= 0.2.1), textshaping

Imports: systemfonts (>= 1.0.0), textshaping (>= 0.3.0)

Imports: systemfonts (>= 1.0.3), textshaping (>= 0.3.0)

person("Thomas Lin", "Pedersen", , "thomas.pedersen@rstudio.com", role = c("cre", "aut"),
person("Maxim", "Shemanarev", role = c("aut", "cph"),
person("Tony", "Juricic", , "tonygeek@yahoo.com", role = c("ctb", "cph"),
person("Milan", "Marusinec", , "milan@marusinec.sk", role = c("ctb", "cph"),
person("Spencer", "Garrett", role = "ctb",
Description: Anti-Grain Geometry (AGG) is a high-quality and
high-performance 2D drawing library. The 'ragg' package provides a set
of graphic devices based on AGG to use as alternative to the raster
devices provided through the 'grDevices' package.
Suggests: covr, graphics, grid, testthat
Config/Needs/website: ggplot2, devoid, magick, bench, tidyr, ggridges,

Title: Ridge Estimation of Precision Matrices from High-Dimensional
Author: Carel F.W. Peeters, Wessel N. van Wieringen
Description: Package contains proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.
Depends: stats, expm, GeneNet, reshape, ggplot2, igraph