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.
| Version: | 0.1.0 |
| Imports: | igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, MASS, quarto, rmarkdown |
| Published: | 2025-11-27 |
| DOI: | 10.32614/CRAN.package.grasps (may not be active yet) |
| Author: | Shiying Xiao 
[aut, cre] |
| 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 |
| CRAN checks: | grasps results |
Documentation:
| Reference manual: | grasps.html , grasps.pdf |
| Vignettes: |
crit (source) pen_est (source, R code) |
Downloads:
| Package source: | grasps_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: grasps_0.1.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): grasps_0.1.0.tgz, r-oldrel (x86_64): grasps_0.1.0.tgz |
Linking:
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