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This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see GRridge.

Better prediction by use of co-data: Adaptive group-regularized ridge regression

Bioconductor version: Release (3.18)

This package allows the use of multiple sources of co-data (e.g. external p-values, gene lists, annotation) to improve prediction of binary, continuous and survival response using (logistic, linear or Cox) group-regularized ridge regression. It also facilitates post-hoc variable selection and prediction diagnostics by cross-validation using ROC curves and AUC.

Author: Mark A. van de Wiel <mark.vdwiel at>, Putri W. Novianti <p.novianti at>

Maintainer: Mark A. van de Wiel <mark.vdwiel at>

Citation (from within R, enter citation("GRridge")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


Reference Manual PDF


biocViews Bayesian, Classification, GO, GeneExpression, GenePrediction, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, KEGG, Pathways, RNASeq, Regression, Software, Survival
Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-3
Depends R (>= 3.2), penalized, Iso, survival, methods, graph, stats, glmnet, mvtnorm
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