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GRridge
This package is for version 3.9 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: 3.9
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 vumc.nl>, Putri W. Novianti <p.novianti at vumc.nl>
Maintainer: Mark A. van de Wiel <mark.vdwiel at vumc.nl>
citation("GRridge")):
Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GRridge")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GRridge")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.