To install this package, start R and enter:

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

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

networkBMA

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: 2.14

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, Wm. Chad Young, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo)

Maintainer: Ka Yee Yeung <kayee at u.washington.edu>

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

Installation

To install this package, start R and enter:

source("http://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   Reference Manual
Text   NEWS

Details

biocViews GraphsAndNetworks, NetworkInference, Software
Version 1.6.0
In Bioconductor since BioC 2.11 (R-2.15)
License GPL (>= 2)
Depends R (>= 2.15.0), stats, utils, BMA, Rcpp (>= 0.10.3), RcppArmadillo (>= 0.3.810.2), RcppEigen (>= 0.3.1.2.1)
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me DREAM4

Package Archives

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

Package Source networkBMA_1.6.0.tar.gz
Windows Binary networkBMA_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) networkBMA_1.6.0.tgz
Mac OS X 10.9 (Mavericks)
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