Package: discretecdAlgorithm
Type: Package
Title: Coordinate-Descent Algorithm for Learning Sparse Discrete
        Bayesian Networks
Version: 0.0.5
Authors@R: person("Jiaying", "Gu", email = "gujy.lola@gmail.com", role = c("aut", "cre"))
Description: Structure learning of Bayesian network using coordinate-descent
    algorithm. This algorithm is designed for discrete network assuming a multinomial data set,
    and we use a multi-logit model to do the regression.
    The algorithm is described in Gu, Fu and Zhou (2016) <arXiv:1403.2310>.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.2.3)
Imports: Rcpp (>= 0.11.0), sparsebnUtils (>= 0.0.4), igraph
Suggests: testthat,
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 6.0.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2017-09-10 13:42:40 UTC; jiayinggu
Author: Jiaying Gu [aut, cre]
Maintainer: Jiaying Gu <gujy.lola@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-10 16:39:53 UTC
Built: R 3.2.5; x86_64-apple-darwin13.4.0; 2017-09-11 09:07:28 UTC; unix
Archs: discretecdAlgorithm.so.dSYM
