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WSSmod: Weighted Sum Scores for Protein Network Modules

Computes Weighted Sum Score (WSS) module-level summaries from proteomic data. Protein-level values are sign-aligned to their association with core biomarkers and combined within 'STRING' network modules, weighted by network connectivity and association strength. Bundled reference modules and a fitted 'joinet' model also allow all module scores to be predicted from age, sex and a small panel of plasma biomarkers, without measuring the full proteomic panel. The method is described in Butler et al. (2026) <doi:10.64898/2026.08.14.26360394>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: data.table
Suggests: glmnet, joinet, knitr, rmarkdown, RNOmni, testthat (≥ 3.0.0)
Published: 2026-11-03
DOI: 10.32614/CRAN.package.WSSmod (may not be active yet)
Author: Robert Butler ORCID iD [aut, cre], WSSmod authors [cph]
Maintainer: Robert Butler <rrbutler at stanford.edu>
BugReports: https://github.com/Longo-Lab/WSSmod/issues
License: MIT + file LICENSE
URL: https://github.com/Longo-Lab/WSSmod, https://Longo-Lab.github.io/WSSmod/
NeedsCompilation: no
Language: en-US
Citation: WSSmod citation info
Materials: README, NEWS
CRAN checks: WSSmod results

Documentation:

Reference manual: WSSmod.html , WSSmod.pdf
Vignettes: Calculating Weighted Sum Scores (source, R code)
Exploring the bundled datasets (source, R code)
Predicting Weighted Sum Scores from plasma biomarkers (source, R code)

Downloads:

Package source: WSSmod_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: WSSmod_0.1.0.zip, r-oldrel: WSSmod_0.1.0.zip
macOS binaries: r-release (arm64): WSSmod_0.1.0.tgz, r-oldrel (arm64): WSSmod_0.1.0.tgz, r-release (x86_64): WSSmod_0.1.0.tgz, r-oldrel (x86_64): WSSmod_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WSSmod 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.
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