fbseqOpenMP package is an internal backend of the
fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired
tar.gz bundle, then install it either with
install.packages(..., repos = NULL, type="source") from within R
R CMD INSTALL from the Unix/Linux command line.
Option 2: use
install_github to install the development version.
For this option, you need the
devtools package, available from CRAN or GitHub. Open R and run
Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone email@example.com:wlandau/fbseqOpenMP.git R CMD build fbseqOpenMP R CMD INSTALL ...
... is replaced by the name of the tarball produced by
R CMD build.
To check if OpenMP is correctly enabled for the package, run