markvdwiel/GRridge: Better prediction by use of co-data: Adaptive group-regularized ridge regression
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.
Getting started
Browse package contents
Package details |
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| Author | Mark A. van de Wiel <mark.vdwiel@vumc.nl>, Putri W. Novianti <p.novianti@vumc.nl> |
| Bioconductor views | Bayesian Classification GO GeneExpression GenePrediction GeneSetEnrichment GraphAndNetwork ImmunoOncology KEGG Pathways RNASeq Regression Survival |
| Maintainer | Mark A. van de Wiel <mark.vdwiel@vumc.nl> |
| License | GPL-3 |
| Version | 1.7.5 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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