Package: NetGreg 0.0.4

Seungjun Ahn

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 publication by Ahn S and Oh EJ (2026) <doi:10.1093/bioadv/vbag038>.

Authors:Seungjun Ahn [cre, aut], Eun Jeong Oh [aut]

NetGreg_0.0.4.tar.gz
NetGreg_0.0.4.zip(r-4.7-any)NetGreg_0.0.4.zip(r-4.6-any)
NetGreg_0.0.4.tar.gz(r-4.7-any)NetGreg_0.0.4.tar.gz(r-4.6-any)
NetGreg_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
NetGreg/json (API)

# Install 'NetGreg' in R:
install.packages('NetGreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 254 downloads 2 exports 42 dependencies

Last updated from:000a9b0044. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK187
source / vignettesOK191
linux-releaseOK188
windows-develOK126
windows-releaseOK112
wasm-releaseOK143

Exports:identifyHubsNetworkGuided

Dependencies:bootclicodetoolscpp11dotCall64dplyrfieldsforeachgenericsglmnetgluehugeigraphiteratorslatticelifecyclemagrittrmapsMASSMatrixpillarpkgconfigplsgenomicsplyrR6RColorBrewerRcppRcppEigenreshape2RhpcBLASctlrlangshapespamstringistringrsurvivaltibbletidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
identifyHubsidentifyHubs
NetworkGuidedNetworkGuided