Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.
| Version: | 2.0.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats, methods, grDevices, graphics, Matrix, fdrtool, igraph, knitr, Rcpp, assertthat |
| LinkingTo: | Rcpp, RcppArmadillo, BH |
| Suggests: | covr, testthat |
| Published: | 2020-05-28 |
| Author: | Gwenael G.R. Leday [cre, aut], Ilaria Speranza [aut], Harry Gray [ctb] |
| Maintainer: | Gwenael G.R. Leday <gwenael.leday at wur.nl> |
| 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 |
| Reference manual: | beam.pdf |
| Package source: | beam_2.0.2.tar.gz |
| Windows binaries: | r-devel: beam_2.0.2.zip, r-release: beam_2.0.2.zip, r-oldrel: beam_2.0.2.zip |
| macOS binaries: | r-release: beam_2.0.2.tgz, r-oldrel: beam_2.0.2.tgz |
| Old sources: | beam archive |
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