To install this package, start R and enter:

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

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

OutlierD

DOI: 10.18129/B9.bioc.OutlierD    

Outlier detection using quantile regression on the M-A scatterplots of high-throughput data

Bioconductor version: Release (3.6)

This package detects outliers using quantile regression on the M-A scatterplots of high-throughput data.

Author: HyungJun Cho <hj4cho at korea.ac.kr>

Maintainer: Sukwoo Kim <s4kim at korea.ac.kr>

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

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("OutlierD")

 

PDF R Script Overview
PDF   Reference Manual

Details

biocViews Microarray, Software
Version 1.42.0
In Bioconductor since BioC 2.1 (R-2.6) (10 years)
License GPL (>= 2)
Depends R (>= 2.3.0), Biobase, quantreg
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.korea.ac.kr/~stat2242/
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package OutlierD_1.42.0.tar.gz
Windows Binary OutlierD_1.42.0.zip
Mac OS X 10.11 (El Capitan) OutlierD_1.42.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/OutlierD
Package Short Url http://bioconductor.org/packages/OutlierD/
Package Downloads Report Download Stats

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