graper
Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes
Bioconductor version: 3.24 · Package version: 1.29.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("graper") Details
| Maintainer | Britta Velten <britta.velten@gmail.com> |
| Author | Britta Velten [aut, cre], Wolfgang Huber [aut] |
| License | GPL (>= 2) |
| Downloads rank | 385 |
| Source branch | devel |
| biocViews | Bayesian, Classification, Regression, Software |
Documentation
- Vignette illustrating the use of graper in linear regression
- Vignette illustrating the use of graper in logistic regression
Download
Follow the installation instructions to use this package in your R session.
| Source package | graper_1.29.0.tar.gz |
| Windows binary (x86_64) | graper_1.29.0.zip |
| macOS binary (arm64) | graper_1.29.0.tgz |
| macOS binary (x86_64) | graper_1.29.0.tgz |
Dependencies
Depends: R (>= 3.6)
Imports: Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats
LinkingTo: Rcpp, RcppArmadillo, BH