Package: grasps
Type: Package
Title: Groupwise Regularized Adaptive Sparse Precision Solution
Version: 0.1.1
Authors@R: c(
    person(given = "Shiying", family = "Xiao",
           email = "shiying.xiao@outlook.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8846-3258")),
    person(given = "Jun", family = "Yan",
           email = "jun.yan@uconn.edu",
           role = "aut",
           comment = c(ORCID = "0000-0003-4401-7296")),
    person(given = "Panpan", family = "Zhang",
           email = "panpan.zhang@vumc.org",
           role = "aut",
           comment = c(ORCID = "0000-0002-8211-5930"))
  )
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: Provides a unified framework for sparse-group regularization and
    precision matrix estimation in Gaussian graphical models. It implements
    multiple sparse-group penalties, including sparse-group lasso, sparse-group
    adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them
    efficiently using ADMM-based optimization. The package is designed for
    high-dimensional network inference where both sparsity and group structure
    are present.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/grasps,
        https://shiying-xiao.com/grasps/
BugReports: https://github.com/Carol-seven/grasps/issues
Encoding: UTF-8
Imports: igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
Suggests: knitr, MASS, quarto, rmarkdown
VignetteBuilder: knitr, quarto
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-05-02 22:33:30 UTC; csxiao
Author: Shiying Xiao [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8846-3258>),
  Jun Yan [aut] (ORCID: <https://orcid.org/0000-0003-4401-7296>),
  Panpan Zhang [aut] (ORCID: <https://orcid.org/0000-0002-8211-5930>)
Repository: CRAN
Date/Publication: 2026-05-02 22:50:09 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-05-10 02:56:25 UTC; windows
Archs: x64
