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graper

Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes

Bioconductor version: 3.24 · Package version: 1.29.0

This package enables regression and classification on high-dimensional data with different relative strengths of penalization for different feature groups, such as different assays or omic types. The optimal relative strengths are chosen adaptively. Optimisation is performed using a variational Bayes approach.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("graper")

Details

MaintainerBritta Velten <britta.velten@gmail.com>
AuthorBritta Velten [aut, cre], Wolfgang Huber [aut]
LicenseGPL (>= 2)
Downloads rank385
Source branchdevel
biocViewsBayesian, Classification, Regression, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagegraper_1.29.0.tar.gz
Windows binary (x86_64)graper_1.29.0.zip
macOS binary (arm64)graper_1.29.0.tgz
macOS binary (x86_64)graper_1.29.0.tgz
Dependencies

Depends: R (>= 3.6)

Imports: Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats

LinkingTo: Rcpp, RcppArmadillo, BH

Suggests: knitr, rmarkdown, BiocStyle, testthat