Package: sparsebn
Title: Learning Sparse Bayesian Networks from High-Dimensional Data
Version: 0.0.2
Date: 2016-11-28
Authors@R: person("Bryon", "Aragam", email = "sparsebn@gmail.com", role = c("aut", "cre"))
Maintainer: Bryon Aragam <sparsebn@gmail.com>
Description: Fast methods for learning sparse Bayesian networks from high-dimensional data using sparse regularization. Designed to incorporate mixed experimental and observational data with thousands of variables with either continuous or discrete observations.
Depends: R (>= 3.2.3), sparsebnUtils (>= 0.0.3), ccdrAlgorithm (>=
        0.0.2), discretecdAlgorithm (>= 0.0.2)
Suggests: knitr, rmarkdown, mvtnorm, igraph, graph, testthat
URL: https://github.com/itsrainingdata/sparsebn
BugReports: https://github.com/itsrainingdata/sparsebn/issues
License: GPL (>= 2)
RoxygenNote: 5.0.1
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2016-11-28 21:54:03 UTC; Zigmund-2
Author: Bryon Aragam [aut, cre]
Repository: CRAN
Date/Publication: 2016-11-29 00:55:05
Built: R 3.3.2; ; 2016-12-02 04:50:10 UTC; windows
