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grasps  

Groupwise Regularized Adaptive Sparse Precision Solution
View on CRAN: Click here


Download and install grasps package within the R console
Install from CRAN:
install.packages("grasps")

Install from Github:
library("remotes")
install_github("cran/grasps")

Install by package version:
library("remotes")
install_version("grasps", "0.1.2")



Attach the package and use:
library("grasps")
Maintained by
Shiying Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-27
Latest Update: 2025-11-27
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.
How to cite:
Shiying Xiao (2025). grasps: Groupwise Regularized Adaptive Sparse Precision Solution. R package version 0.1.2, https://cran.r-project.org/web/packages/grasps. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-09-13 01:00), 0.1.0 (2025-11-27 20:10), 0.1.1 (2026-05-03 00:50)
Other packages that cited grasps R package
View grasps citation profile
Other R packages that grasps depends, imports, suggests or enhances
Complete documentation for grasps
Functions, R codes and Examples using the grasps R package
Full grasps package functions and examples
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