graper

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see graper.

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


Bioconductor version: 3.9

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 embl.de>

Citation (from within R, enter citation("graper")):

Installation

To install this package, start R (version "3.6") and enter:


if (!require("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")
example_linear HTML R Script
example_logistic HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Bayesian, Classification, Regression, Software
Version 1.0.0
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL (>= 2)
Depends R (>= 3.6)
Imports Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats
System Requirements
URL
See More
Suggests knitr, rmarkdown, BiocStyle, testthat
Linking To Rcpp, RcppArmadillo, BH
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package graper_1.0.0.tar.gz
Windows Binary graper_1.0.0.zip
Mac OS X 10.11 (El Capitan) graper_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/graper
Source Repository (Developer Access) git clone [email protected]:packages/graper
Bioc Package Browser https://code.bioconductor.org/browse/graper/
Package Short Url https://bioconductor.org/packages/graper/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive