Package: networkBMA
Version: 2.32.0
Date: 2021--1--19
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_13
git_last_commit: ed81202
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
Packaged: 2021-05-19 22:18:53 UTC; biocbuild
Built: R 4.1.0; x86_64-conda-linux-gnu; 2021-05-31 07:50:59 UTC; unix
