grasps: Groupwise Regularized Adaptive Sparse Precision Solution
Provides a unified framework for sparse-group precision matrix estimation in Gaussian graphical models using combined element-wise and group-wise regularization. It supports multiple sparse-group penalties, including lasso, adaptive lasso, and several non-convex penalties such as SCAD and MCP. Non-convex estimates can be computed using one-step or iterative LLA, with weighted subproblems solved efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
| Version: | 0.1.3 |
| Imports: | igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, MASS, quarto, rmarkdown |
| Published: | 2026-11-14 |
| DOI: | 10.32614/CRAN.package.grasps |
| Author: | Shiying Xiao 
[aut, cre],
Jun Yan [aut],
Panpan Zhang
[aut] |
| Maintainer: | Shiying Xiao <shiying.xiao at outlook.com> |
| BugReports: | https://github.com/Carol-seven/grasps/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Carol-seven/grasps, https://shiying-xiao.com/grasps/ |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | grasps results |
Documentation:
| Reference manual: | grasps.html , grasps.pdf |
| Vignettes: |
crit (source) pen_est (source, R code) |
Downloads:
| Package source: | grasps_0.1.3.tar.gz |
| Windows binaries: | r-devel: grasps_0.1.2.zip, r-release: grasps_0.1.3.zip, r-oldrel: grasps_0.1.3.zip |
| macOS binaries: | r-release (arm64): grasps_0.1.3.tgz, r-oldrel (arm64): grasps_0.1.3.tgz, r-release (x86_64): grasps_0.1.3.tgz, r-oldrel (x86_64): grasps_0.1.3.tgz |
| Old sources: | grasps archive |
Linking:
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