#fastBMARdemo fastBMA as part of the networkBMA R package

Kaiyuan Shi modified the fastBMA code and implemented the Rcpp interface. LHH wrote the configuration and test code. The original networkBMA code is part of a Bioconductor package.

The source package for networkBMA including fastBMA is provided as tarball. Before installing the package, OpenBLAS must be installed first. On Ubuntu, this can be accomplished using apt-get i.e.

sudo apt-get install libopenblas-dev

At this time, due to the difficulty in using OpenBLAS with R in Windows, the package can only be installed on Linux systems.

A test script,test.R is provided that will run both fastBMA and ScanBMA on a 100 variable yeast data set. To install and run the test script from the same directory as the one containing fastBMA.tar.gz

cd <directory containing fastBMA.tar.gz and test.R>
sudo Rscript test.R

Not all features of fastBMA are supported in the current R package. The binary compiled from the C++ source code or the Docker image do contain the entire functionality described in the paper.