markvdwiel/GRridge: Better prediction by use of co-data: Adaptive group-regularized ridge regression
Version 1.3.4

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

Package details

AuthorMark A. van de Wiel <[email protected]>, Putri W. Novianti <[email protected]>
Bioconductor views Bayesian Classification GO GeneExpression GenePrediction GeneSetEnrichment GraphAndNetwork KEGG Pathways RNASeq Regression Survival
MaintainerMark A. van de Wiel <[email protected]>
LicenseGPL-3
Version1.3.4
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("markvdwiel/GRridge")
markvdwiel/GRridge documentation built on April 10, 2018, 12:14 a.m.