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 (2.14)

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>

To install this package, start R and enter:

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

Installation

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 1.28.0
In Bioconductor since BioC 2.1 (R-2.6)
License GPL (>= 2)
Depends R (>= 2.3.0), Biobase, quantreg
Imports
Suggests
System Requirements
URL http://www.korea.ac.kr/~stat2242/
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source OutlierD_1.28.0.tar.gz
Windows Binary OutlierD_1.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) OutlierD_1.28.0.tgz
Mac OS X 10.9 (Mavericks) OutlierD_1.28.0.tgz
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