Package: graper
Type: Package
Title: Adaptive penalization in high-dimensional regression and
        classification with external covariates using variational Bayes
Version: 1.29.0
Authors@R: c(person("Britta", "Velten", email = "britta.velten@gmail.com", 
	    role = c("aut", "cre")),
	person("Wolfgang", "Huber", role=c("aut"), email="wolfgang.huber@embl.de"))
Date: 2018-10-26
License: GPL (>= 2)
Description: 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.
Depends: R (>= 3.6)
Encoding: UTF-8
Imports: Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats
LinkingTo: Rcpp, RcppArmadillo, BH
biocViews: Regression, Bayesian, Classification
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, BiocStyle, testthat
VignetteBuilder: knitr
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:49:19 UTC
RemoteUrl: https://github.com/bioc/graper
RemoteRef: HEAD
RemoteSha: ba611e23de4b1648faa7e7e7b283aaa7d4291eaf
NeedsCompilation: yes
Packaged: 2026-07-03 22:10:57 UTC; root
Author: Britta Velten [aut, cre],
  Wolfgang Huber [aut]
Maintainer: Britta Velten <britta.velten@gmail.com>