Bioconductor version: Release (3.16)
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,
enter citation("graper")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("graper")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("graper")
HTML | R Script | example_linear |
HTML | R Script | example_logistic |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, Classification, Regression, Software |
Version | 1.14.2 |
In Bioconductor since | BioC 3.9 (R-3.6) (4 years) |
License | GPL (>= 2) |
Depends | R (>= 3.6) |
Imports | Matrix, Rcpp, stats, ggplot2, methods, cowplot, matrixStats |
LinkingTo | Rcpp, RcppArmadillo, BH |
Suggests | knitr, rmarkdown, BiocStyle, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | graper_1.14.2.tar.gz |
Windows Binary | graper_1.14.2.zip |
macOS Binary (x86_64) | graper_1.14.2.tgz |
macOS Binary (arm64) | graper_1.14.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/graper |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/graper |
Bioc Package Browser | https://code.bioconductor.org/browse/graper/ |
Package Short Url | https://bioconductor.org/packages/graper/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.16 | Source Archive |
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