Package: networkBMA
Version: 2.30.1
Date: 2021--1--25
Author: Chris Fraley, Wm. Chad Young, Ling-Hong Hung, Kaiyuan Shi, Ka Yee Yeung, Adrian Raftery
               (with contributions from Kenneth Lo)
Title: Regression-based network inference using Bayesian Model
        Averaging
Description: An extension of Bayesian Model Averaging (BMA) for network
                construction using time series gene expression data.
                Includes assessment functions and sample test data.
Depends: R (>= 2.15.0), stats, utils, BMA, Rcpp (>= 0.10.3),
        RcppArmadillo (>= 0.3.810.2), RcppEigen (>= 0.3.1.2.1), leaps
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, BH
SystemRequirements: liblapack-dev
License: GPL (>= 2)
Maintainer: Ka Yee Yeung <kayee@u.washington.edu>
biocViews: GraphsAndNetwork, NetworkInference, GeneExpression,
        GeneTarget, Network, Bayesian
NeedsCompilation: yes
git_url: https://git.bioconductor.org/packages/networkBMA
git_branch: RELEASE_3_12
git_last_commit: 35c18a2
git_last_commit_date: 2021-01-25
Date/Publication: 2021-01-26
Packaged: 2021-01-27 02:04:43 UTC; biocbuild
Built: R 4.0.3; x86_64-apple-darwin17.0; 2021-01-27 15:08:20 UTC; unix
