beam: Fast Bayesian Inference in Large Gaussian Graphical Models
Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.
| Version: | 2.0.4 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, methods, grDevices, graphics,Matrix,fdrtool,igraph,knitr,Rcpp,assertthat |
| LinkingTo: | Rcpp,RcppArmadillo,BH |
| Suggests: | covr,testthat |
| Published: | 2025-04-11 |
| DOI: | 10.32614/CRAN.package.beam |
| Author: | Gwenael G.R. Leday [cre, aut], Ilaria Speranza [aut], Harry Gray [ctb] |
| Maintainer: | Gwenael G.R. Leday <gwenael.leday at proton.me> |
| 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 |
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