DESCRIPTION

Package: discretecdAlgorithm
Type: Package
Title: Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks
Version: 0.0.7
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: 7.0.2
SystemRequirements: C++11