To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("OutlierD")

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

OutlierD

 

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

Bioconductor version: Release (3.1)

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:

source("http://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 1.32.0
In Bioconductor since BioC 2.1 (R-2.6) (7.5 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.

Package Source OutlierD_1.32.0.tar.gz
Windows Binary OutlierD_1.32.0.zip
Mac OS X 10.6 (Snow Leopard) OutlierD_1.32.0.tgz
Mac OS X 10.9 (Mavericks) OutlierD_1.32.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center