To install this package, start R and enter:

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

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

networkBMA

   

This package is for version 2.12 of Bioconductor; for the stable, up-to-date release version, see networkBMA.

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: 2.12

An extension of Bayesian Model Averaging (BMA) for network construction using time series gene expression data. Includes assessment functions and sample test data.

Author: Chris Fraley, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo and Chad Young)

Maintainer: Chris Fraley <fraley at stat.washington.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("networkBMA")

 

PDF R Script networkBMA
PDF prc.pdf
PDF roc.pdf
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews GraphsAndNetworks, NetworkInference, Software
Version 1.2.0
In Bioconductor since BioC 2.11 (R-2.15) (3.5 years)
License GPL (>= 2)
Depends R (>= 2.15.0), stats, utils, BMA
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me DREAM4
Build Report  

Package Archives

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

Package Source networkBMA_1.2.0.tar.gz
Windows Binary networkBMA_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) networkBMA_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/networkBMA/tree/release-2.12
Package Short Url http://bioconductor.org/packages/networkBMA/
Package Downloads Report Download Stats

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