DOI: 10.18129/B9.bioc.networkBMA    

This is the development version of networkBMA; for the stable release version, see networkBMA.

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: Development (3.11)

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, Ling-Hong Hung, Kaiyuan Shi, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo)

Maintainer: Ka Yee Yeung <kayee at>

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


To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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



PDF R Script networkBMA
PDF   Reference Manual
Text   NEWS


biocViews Bayesian, GeneExpression, GeneTarget, GraphsAndNetwork, Network, NetworkInference, Software
Version 2.27.0
In Bioconductor since BioC 2.11 (R-2.15) (7.5 years)
License GPL (>= 2)
Depends R (>= 2.15.0), stats, utils, BMA, Rcpp (>= 0.10.3), RcppArmadillo (>= 0.3.810.2), RcppEigen (>=, leaps
LinkingTo Rcpp, RcppArmadillo, RcppEigen, BH
SystemRequirements liblapack-dev
Depends On Me
Imports Me
Suggests Me DREAM4
Links To Me
Build Report  

Package Archives

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

Source Package networkBMA_2.27.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.11 (El Capitan) networkBMA_2.27.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: