Package: graper
Type: Package
Title: Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes
Version: 1.23.0
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
LazyData: TRUE
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