Package: sdnet
Title: Soft-Discretization-Based Bayesian Network Inference
Version: 2.4.0
Author: Nikolay Balov
Description: Fitting discrete Bayesian networks using soft-discretized data.  Soft-discretization is based on mixture of normal distributions.  Also implemented is a supervised Bayesian network learning employing Kullback-Leibler divergence. For more information see Balov (2013) <DOI:10.1186/1755-8794-6-S3-S1>.
Maintainer: Nikolay Balov <nhbalov@gmail.com>
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: methods, stats, utils, graphics
Suggests:
Collate: class.R def.R graph2catnet.R dags.R probs.R joint.prob.R
        marginal.prob.R samples.R loglik.R entropy.R categor.R dist.R
        plot.R find.R search.R eval.R predict.R chisq.R histo.R
        cluster.R bif.R xdsl.R quant.R expres.r zzz.R
LazyLoad: yes
Repository: CRAN
Date/Publication: 2019-04-22 16:00:21 UTC
URL: http://www.biomedcentral.com/1755-8794/6/S3/S1
Packaged: 2019-04-22 14:24:21 UTC; nbalov
NeedsCompilation: yes
