Package: graper
Type: Package
Title: Adaptive penalization in high-dimensional regression and
        classification with external covariates using variational Bayes
Version: 1.26.0
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-release.r-universe.dev
Date/Publication: 2025-10-29 14:49:21 UTC
RemoteUrl: https://github.com/bioc/graper
RemoteRef: RELEASE_3_22
RemoteSha: 76fc31bbe0ecd27863cbd3e3f7aee1181025c741
NeedsCompilation: yes
Packaged: 2026-01-24 20:45:34 UTC; root
Author: Britta Velten [aut, cre],
  Wolfgang Huber [aut]
Maintainer: Britta Velten <britta.velten@gmail.com>
Built: R 4.5.2; x86_64-w64-mingw32; 2026-01-24 20:47:37 UTC; windows
Archs: x64
