To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("stageR")

In most cases, you don't need to download the package archive at all.

stageR

DOI: 10.18129/B9.bioc.stageR    

stageR: stage-wise analysis of high throughput gene expression data in R

Bioconductor version: Release (3.6)

The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is currently published as a preprint at http://biorxiv.org/content/early/2017/02/16/109082

Author: Koen Van den Berge

Maintainer: Koen Van den Berge <koen.vdberge at gmail.com>

Citation (from within R, enter citation("stageR")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("stageR")

Documentation

HTML R Script stageR
PDF   Reference Manual

Details

biocViews Software, StatisticalMethod
Version 1.0.0
License GNU General Public License version 3
Depends R (>= 3.4), SummarizedExperiment
Imports methods, stats
LinkingTo
Suggests knitr, rmarkdown, BiocStyle, methods, Biobase, edgeR, limma, DEXSeq
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package stageR_1.0.0.tar.gz
Windows Binary stageR_1.0.0.zip
Mac OS X 10.11 (El Capitan) stageR_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/stageR
Package Short Url http://bioconductor.org/packages/stageR/
Package Downloads Report Download Stats

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