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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 |
| Reference manual: | beam.pdf |
| Package source: | beam_2.0.4.tar.gz |
| Windows binaries: | r-devel: not available, r-release: beam_2.0.4.zip, r-oldrel: not available |
| macOS binaries: | r-devel (arm64): beam_2.0.4.tgz, r-release (arm64): beam_2.0.4.tgz, r-oldrel (arm64): beam_2.0.4.tgz, r-devel (x86_64): beam_2.0.4.tgz, r-release (x86_64): beam_2.0.4.tgz, r-oldrel (x86_64): beam_2.0.4.tgz |
| Old sources: | beam archive |
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