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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | grasps_0.1.0.tar.gz |
1.0 MiB |
0.1.0 |
rolling linux/jammy R-4.5 | grasps_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
rolling linux/noble R-4.5 | grasps_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
latest source/ R- | grasps_0.1.0.tar.gz |
1.0 MiB |
0.1.0 |
latest linux/jammy R-4.5 | grasps_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
latest linux/noble R-4.5 | grasps_0.1.0.tar.gz |
1.1 MiB |
0.1.0 |
2026-04-23 source/ R- | grasps_0.1.0.tar.gz |
1.0 MiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | grasps_0.1.0.zip |
1.5 MiB |