The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NetGreg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.