This is the development version of graper; for the stable release version, see graper.
Adaptive penalization in high-dimensional regression and classification with external covariates using variational BayesBioconductor 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, entercitation("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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("graper")Follow Installation instructions to use this package in your R session.
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