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

Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

Bioconductor version: 2.13

Microarray Classification is designed for both biologists and statisticians. It offers the ability to train a classifier on a labelled microarray dataset and to then use that classifier to predict the class of new observations. A range of modern classifiers are available, including support vector machines (SVMs), nearest shrunken centroids (NSCs)... Advanced methods are provided to estimate the predictive error rate and to report the subset of genes which appear essential in discriminating between classes.

Author: Camille Maumet <Rmagpie at gmail.com>, with contributions from C. Ambroise J. Zhu

Maintainer: Camille Maumet <Rmagpie at gmail.com>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("Rmagpie")

 

PDF	R Script	Rmagpie Examples
PDF		Reference Manual

Details

biocViews	Classification, Microarray, Software
Version	1.18.0
In Bioconductor since	BioC 2.4 (R-2.9)
License	GPL (>= 3)
Depends	R (>= 2.6.1), Biobase(>= 2.5.5)
Imports	Biobase(>= 2.5.5), e1071, graphics, grDevices, kernlab, methods, pamr, stats, utils
Suggests	xtable
System Requirements
URL	http://www.bioconductor.org/
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	Rmagpie_1.18.0.tar.gz
Windows Binary	Rmagpie_1.18.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	Rmagpie_1.18.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats