To install this package, start R and enter:

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

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

minet

Mutual Information NETworks

Bioconductor version: 2.13

This package implements various algorithms for inferring mutual information networks from data.

Author: Patrick E. Meyer, Frederic Lafitte, Gianluca Bontempi

Maintainer: Patrick E. Meyer <software at meyerp.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("minet")

 

PDF   Reference Manual

Details

biocViews GraphsAndNetworks, Microarray, NetworkAnalysis, NetworkInference, Software
Version 3.16.0
In Bioconductor since BioC 2.3 (R-2.8)
License CC BY-NC-SA 3.0
Depends infotheo
Imports
Suggests
System Requirements
URL http://minet.meyerp.com
Depends On Me BUS, geNetClassifier, netresponse
Imports Me RTN
Suggests Me CNORfeeder, predictionet

Package Archives

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

Package Source minet_3.16.0.tar.gz
Windows Binary minet_3.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) minet_3.16.0.tgz
Browse/checkout source (username/password: readonly)
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