beam: Fast Bayesian Inference in Large Gaussian Graphical Models

Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data.

Version: 2.0.1
Depends: R (≥ 3.1.0)
Imports: stats, methods, grDevices, graphics, Matrix, fdrtool, igraph, knitr, Rcpp, assertthat
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: covr, testthat
Published: 2020-01-28
Author: Gwenael G.R. Leday [cre, aut], Ilaria Speranza [aut], Harry Gray [ctb]
Maintainer: Gwenael G.R. Leday <gwenael.leday at mrc-bsu.cam.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
URL: https://github.com/gleday/beam
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: beam results

Downloads:

Reference manual: beam.pdf
Package source: beam_2.0.1.tar.gz
Windows binaries: r-prerelease: beam_2.0.1.zip, r-release: beam_2.0.1.zip, r-oldrel: beam_2.0.1.zip
macOS binaries: r-prerelease: beam_2.0.1.tgz, r-release: beam_2.0.1.tgz, r-oldrel: beam_2.0.1.tgz
Old sources: beam archive

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