Package: grasps 0.1.1

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
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grasps_0.1.1.tgz(r-4.6-x86_64)grasps_0.1.1.tgz(r-4.6-arm64)grasps_0.1.1.tgz(r-4.5-x86_64)grasps_0.1.1.tgz(r-4.5-arm64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
grasps/json (API)

# Install 'grasps' in R:
install.packages('grasps', repos = c('https://carol-seven.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:

Conda:

admm-algorithmgaussian-graphical-modelgroup-informationprecision-matrix-estimationsparse-matrixquartoopenblascppopenmp

5.20 score 1 stars 20 scripts 448 downloads 7 exports 34 dependencies

Last updated from:c781394389. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK196
linux-devel-x86_64OK178
source / vignettesOK254
linux-release-arm64OK184
linux-release-x86_64OK186
macos-release-arm64OK208
macos-release-x86_64OK529
macos-oldrel-arm64OK342
macos-oldrel-x86_64OK426
windows-develOK234
windows-releaseOK194
windows-oldrelOK200
wasm-releaseOK167

Exports:compute_derivativecompute_penaltygen_prec_sbmgraspsperformanceprec_to_adjsparsify_block_banded

Dependencies:base64encclicpp11farverggforceggplot2gluegtableigraphisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixpkgconfigpolyclipR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalessystemfontstidyselecttweenrvctrsviridisLitewithr

pen_est
Preliminary | Sparse-Group Estimator | Penalties | Illustrative Visualization | Reference
Rendered frompen_est.qmdusingquarto::html

Last update: 2026-04-17
Started: 2025-11-19

crit
Introduction | Background: Negative Log-Likelihood | Selection Criteria | Reference
Rendered fromcrit.qmdusingquarto::html

Last update: 2026-04-17
Started: 2025-11-23