Groupwise Regularized Adaptive Sparse Precision Solution
Overview
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.
- Fixed the tuning-parameter grid so that all combinations of user-supplied
alphaandlambdavalues are evaluated. - Fixed automatic tuning-parameter generation so that a separate lambda sequence is constructed for each value of
alphausing its correspondinglambda.max. - Validation of
nlambdaandlambda.min.ratiois now performed only whenlambda = NULL. - Added a check for a non-positive or non-finite
lambda.maxto prevent the generation of invalid lambda sequences. - Fixed within-group weight generation in
gen_prec_sbm()so that each edge weight is sampled once and assigned symmetrically to the corresponding entries of the precision matrix. - Added input validation for
cond.targetand support for empty graphs ingen_prec_sbm().
Show all changes in 0.1.2Hide the rest of the changes in 0.1.2
- Clarified the roles of
lambda.safeandlambda.maxin the documentation of the automatic lambda-grid construction. - Expanded the documentation of the positive-definiteness and condition-number adjustment in
gen_prec_sbm()and added relevant references.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 40% with a bibliography file
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Package metadata
- First published
- 2025-11-27
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 1.4 MB
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