NetGreg: Network-Guided Penalized Regression (NetGreg)

A network-guided penalized regression framework that integrates network characteristics from Gaussian graphical models with partial penalization, accounting for both network structure (hubs and non-hubs) and clinical covariates in high-dimensional omics data, including transcriptomics and proteomics. The full methodological details can be found in our recent preprint by Ahn S and Oh EJ (2025) <doi:10.48550/arXiv.2505.22986>.

Version: 0.0.2
Depends: R (≥ 3.5.0)
Imports: huge, glmnet, dplyr, stats, plsgenomics
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-06-03
DOI: 10.32614/CRAN.package.NetGreg
Author: Seungjun Ahn ORCID iD [cre, aut], Eun Jeong Oh ORCID iD [aut]
Maintainer: Seungjun Ahn <seungjun.ahn at mountsinai.org>
License: GPL-3
NeedsCompilation: no
CRAN checks: NetGreg results

Documentation:

Reference manual: NetGreg.pdf

Downloads:

Package source: NetGreg_0.0.2.tar.gz
Windows binaries: r-devel: NetGreg_0.0.2.zip, r-release: NetGreg_0.0.2.zip, r-oldrel: NetGreg_0.0.2.zip
macOS binaries: r-release (arm64): NetGreg_0.0.2.tgz, r-oldrel (arm64): NetGreg_0.0.2.tgz, r-release (x86_64): NetGreg_0.0.2.tgz, r-oldrel (x86_64): NetGreg_0.0.2.tgz

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