Imports: dplyr, httr, lubridate, magrittr, purrr, curl

Description: Provides a method of recovering the precision matrix for Gaussian graphical models efficiently. Our approach could be divided into three categories. First of all, we use Hard Graphical Thresholding for best subset selection problem of Gaussian graphical model, and the core concept of this method was proposed by Luo et al. (2014) <arXiv:1407.7819>. Secondly, a closed form solution for graphical lasso under acyclic graph structure is implemented in our package (Fattahi and Sojoudi (2019) <http://jmlr.org/papers/v20/17-501.html>). Furthermore, we implement block coordinate descent algorithm to efficiently solve the covariance selection problem (Dempster (1972) <doi:10.2307/2528966>). Our package is computationally efficient and can solve ultra-high-dimensional problems, e.g. p > 10,000, in a few minutes.
person("Shiyun", "Lin", , "linshy27@mail2.sysu.edu.cn", role = c("aut", "cre")),
person("Junxian", "Zhu", , role = "aut"),
person("Xueqin", "Wang", , role = "aut"),
Imports: Rcpp (>= 0.12.15), MASS, Matrix
Packaged: 2020-06-03 03:38:25 UTC; Shiyun Lin

person("Kornel Lesiński", role = "cph", comment = "Gifski Rust library"))
Description: Multi-threaded GIF encoder written in Rust: <https://gif.ski/>.
Converts images to GIF animations using pngquant's efficient cross-frame
palettes and temporal dithering with thousands of colors per frame.
Kornel Lesiński [cph] (Gifski Rust library)

SystemRequirements: Cargo (rustc package manager)

Title: Reads in Neuroimaging 'GIFTI' Files with Geometry Information
Description: Functions to read in the geometry format under the
Neuroimaging Informatics Technology Initiative ('NIfTI'), called
These files contain surfaces of brain imaging data.
Suggests: rgl, grDevices, testthat, knitr, rmarkdown
Packaged: 2017-05-05 15:24:09 UTC; johnmuschelli

Title: Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information
'Neuroimaging' 'Informatics' Technology Initiative ('NIfTI'), called
Imports: xml2 (>= 1.1.1), base64enc, R.utils, tools
Suggests: rgl, grDevices, testthat, knitr, rmarkdown, covr
Packaged: 2017-07-26 19:59:42 UTC; johnmuschelli