This package is considered a duplicate. The official version of this package is found at:https://carol-seven.r-universe.dev/grasps

Package: grasps 0.1.1

Shiying Xiao

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.

Authors:Shiying Xiao [aut, cre], Jun Yan [aut], Panpan Zhang [aut]

grasps_0.1.1.tar.gz
grasps_0.1.1.tar.gz(r-4.7-arm64)grasps_0.1.1.tar.gz(r-4.7-x86_64)grasps_0.1.1.tar.gz(r-4.6-arm64)grasps_0.1.1.tar.gz(r-4.6-x86_64)
grasps_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
grasps/json (API)
NEWS

# Install 'grasps' in R:

install.packages('grasps', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/carol-seven/grasps/issues

Pkgdown/docs site:https://shiying-xiao.com

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

quarto openblas cpp openmp

3.60 score 20 scripts 464 downloads 7 exports 34 dependencies

Last updated from:51dc52cd04. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	171
linux-devel-x86_64	OK	149
source / vignettes	OK	260
linux-release-arm64	OK	173
linux-release-x86_64	OK	156
wasm-release	OK	146

Exports:compute_derivative compute_penalty gen_prec_sbm grasps performance prec_to_adj sparsify_block_banded

Dependencies:base64enc cli cpp11 farver ggforce ggplot2 glue gtable igraph isoband jsonlite labeling lattice lifecycle magrittr MASS Matrix pkgconfig polyclip R6 rbibutils RColorBrewer Rcpp RcppArmadillo Rdpack rlang S7 scales systemfonts tidyselect tweenr vctrs viridisLite withr

crit

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Last update: 2026-05-03
Started: 2025-11-27

pen_est

Rendered frompen_est.qmdusingquarto::htmlon Jun 02 2026.

Last update: 2026-05-03
Started: 2025-11-27

Citation

Readme and manuals

Help Manual

Help page	Topics
Penalty Derivative Computation	compute_derivative
Penalty Function Computation	compute_penalty
Block-Structured Precision Matrix based on SBM	gen_prec_sbm
Groupwise Regularized Adaptive Sparse Precision Solution	grasps
Performance Measures for Precision Matrix Estimation	performance
Plot Function for S3 Class "adjmat"	plot.adjmat
Plot Function for Block-Structured Precision Matrices (Visualize a Matrix with Group Boundaries)	plot.blkmat
Plot Function for S3 Class "penderiv"	plot.penderiv
Adjacency Matrix from Precision Matrix	prec_to_adj
Groupwise Block-Banded Sparsifier	sparsify_block_banded