Network-Guided Penalized Regression (NetGreg) R package NetGreg version 0.0.4 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 publication by Ahn S and Oh EJ (2026) <doi:10.1093/bioadv/vbag038>. Software Depends: R (>= 3.5.0) Imports: huge, glmnet, dplyr, stats, plsgenomics Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Seungjun Ahn <seungjun.ahn@mountsinai.org> Comprehensive R Archive Network (CRAN) Seungjun Ahn [cre, aut] (ORCID: <https://orcid.org/0000-0002-4816-8924>), Eun Jeong Oh [aut] (ORCID: <https://orcid.org/0000-0001-8949-6564>) GPL-3 2026-02-27 application/tgz https://CRAN.R-project.org/package=NetGreg doi:10.32614/CRAN.package.NetGreg