To install this package, start R and enter:

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

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

Rmagpie

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see Rmagpie.

MicroArray Gene-expression-based Program In Error rate estimation

Bioconductor version: 3.3

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>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 1.28.0
In Bioconductor since BioC 2.4 (R-2.9) (7.5 years)
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
LinkingTo
Suggests xtable
SystemRequirements
Enhances
URL http://www.bioconductor.org/
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source Rmagpie_1.28.0.tar.gz
Windows Binary Rmagpie_1.28.0.zip
Mac OS X 10.9 (Mavericks) Rmagpie_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/Rmagpie/tree/release-3.3
Package Short Url http://bioconductor.org/packages/Rmagpie/
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: