Package: beam
Type: Package
Title: Fast Bayesian Inference in Large Gaussian Graphical Models
Version: 2.0.2
Date: 2020-05-28
Author: Gwenael G.R. Leday [cre, aut],
  Ilaria Speranza [aut],
  Harry Gray [ctb]
Authors@R: c(person("Gwenael G.R.","Leday", role=c("cre", "aut"), email="gwenael.leday@wur.nl"), person("Ilaria", "Speranza", role = "aut"), person("Harry", "Gray", role = "ctb"))
Maintainer: Gwenael G.R. Leday <gwenael.leday@wur.nl>
Depends: R (>= 3.1.0)
Imports: stats, methods, grDevices, graphics, Matrix, fdrtool, igraph,
        knitr, Rcpp, assertthat
Description: Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.
LazyLoad: yes
License: GPL (>= 2.0)
LazyData: TRUE
NeedsCompilation: yes
Repository: CRAN
RoxygenNote: 6.0.1
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: covr, testthat
URL: https://github.com/gleday/beam
Packaged: 2020-05-28 17:53:29 UTC; leday001
Date/Publication: 2020-05-28 23:20:18 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 03:21:01 UTC; windows
Archs: i386, x64
