To install this package, start R and enter:

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

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

LPEadj

A correction of the local pooled error (LPE) method to replace the asymptotic variance adjustment with an unbiased adjustment based on sample size.

Bioconductor version: 2.13

Two options are added to the LPE algorithm. The original LPE method sets all variances below the max variance in the ordered distribution of variances to the maximum variance. in LPEadj this option is turned off by default. The second option is to use a variance adjustment based on sample size rather than pi/2. By default the LPEadj uses the sample size based variance adjustment.

Author: Carl Murie <carl.murie at mcgill.ca>, Robert Nadon <robert.nadon at mcgill.ca>

Maintainer: Carl Murie <carl.murie at mcgill.ca>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("LPEadj")

 

PDF R Script LPEadj test for microarray data with small number of replicates
PDF   Reference Manual

Details

biocViews Bioinformatics, Microarray, Proteomics, Software
Version 1.22.0
In Bioconductor since BioC 2.3 (R-2.8)
License LGPL
Depends LPE
Imports LPE, stats
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source LPEadj_1.22.0.tar.gz
Windows Binary LPEadj_1.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) LPEadj_1.22.0.tgz
Browse/checkout source (username/password: readonly)
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