grasps: Groupwise Regularized Adaptive Sparse Precision Solution

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.

Getting started

Package details

AuthorShiying Xiao [aut, cre] (ORCID: <https://orcid.org/0000-0002-8846-3258>)
MaintainerShiying Xiao <shiying.xiao@outlook.com>
LicenseGPL (>= 3)
Version0.1.0
URL https://github.com/Carol-seven/grasps https://shiying-xiao.com/grasps/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("grasps")

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grasps documentation built on Nov. 28, 2025, 1:06 a.m.