graper (development version) (original) (raw)

This is the development version of graper; for the stable release version, seegraper.

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

Bioconductor version: Development (3.22)

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>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("graper")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Details

biocViews Bayesian, Classification, Regression, Software
Version 1.25.0
In Bioconductor since BioC 3.9 (R-3.6) (6 years)
License GPL (>= 2)
Depends R (>= 3.6)
Imports Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats
System Requirements
URL

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Suggests knitr, rmarkdown, BiocStyle, testthat
Linking To Rcpp, RcppArmadillo, BH
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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/
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