graper

DOI: 10.18129/B9.bioc.graper    

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

Bioconductor version: Release (3.13)

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.

Author: Britta Velten [aut, cre], Wolfgang Huber [aut]

Maintainer: Britta Velten <britta.velten at gmail.com>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("graper")

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("graper")

 

HTML	R Script	example_linear
HTML	R Script	example_logistic
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bayesian, Classification, Regression, Software
Version	1.8.0
In Bioconductor since	BioC 3.9 (R-3.6) (2.5 years)
License	GPL (>= 2)
Depends	R (>= 3.6)
Imports	Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats
LinkingTo	Rcpp, RcppArmadillo, BH
Suggests	knitr, rmarkdown, BiocStyle, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	graper_1.8.0.tar.gz
Windows Binary	graper_1.8.0.zip
macOS 10.13 (High Sierra)	graper_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/graper
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/graper
Package Short Url	https://bioconductor.org/packages/graper/
Package Downloads Report	Download Stats