GRridge
Better prediction by use of co-data: Adaptive group-regularized ridge regression
Bioconductor version: Release (3.17)
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 "4.3") 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
Reference Manual |
Details
biocViews | Bayesian, Classification, GO, GeneExpression, GenePrediction, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, KEGG, Pathways, RNASeq, Regression, Software, Survival |
Version | 1.23.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (6.5 years) |
License | GPL-3 |
Depends | R (>= 3.2), penalized, Iso, survival, methods, graph, stats, glmnet, mvtnorm |
Imports | |
Linking To | |
Suggests | testthat |
System Requirements | |
Enhances | |
URL |
See More
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Imports Me | |
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Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | GRridge_1.23.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GRridge |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GRridge |
Bioc Package Browser | https://code.bioconductor.org/browse/GRridge/ |
Package Short Url | https://bioconductor.org/packages/GRridge/ |
Package Downloads Report | Download Stats |