# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "grasps" in publications use:' type: software license: GPL-3.0-or-later title: 'grasps: Groupwise Regularized Adaptive Sparse Precision Solution' version: 0.1.1 doi: 10.32614/CRAN.package.grasps abstract: 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. authors: - family-names: Xiao given-names: Shiying email: shiying.xiao@outlook.com orcid: https://orcid.org/0000-0002-8846-3258 - family-names: Yan given-names: Jun email: jun.yan@uconn.edu orcid: https://orcid.org/0000-0003-4401-7296 - family-names: Zhang given-names: Panpan email: panpan.zhang@vumc.org orcid: https://orcid.org/0000-0002-8211-5930 repository: https://carol-seven.r-universe.dev repository-code: https://github.com/Carol-seven/grasps commit: c781394389d3f677d4fd5f1d236cafb72732d79e url: https://shiying-xiao.com/grasps/ date-released: '2026-05-02' contact: - family-names: Xiao given-names: Shiying email: shiying.xiao@outlook.com orcid: https://orcid.org/0000-0002-8846-3258