Package: catnet
Title: Categorical Bayesian Network Inference
Version: 1.15.5
Author: Nikolay Balov, Peter Salzman
Description: Structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria.  Exhaustive search for fixed node orders and stochastic search of optimal orders via simulated annealing algorithm are implemented.  
Maintainer: Nikolay Balov <nhbalov@gmail.com>
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: methods, stats, utils, graphics
Suggests:
Collate: catnet.class.R catnet.def.R graph2catnet.R catnet.dags.R
        catnet.probs.R catnet.joint.prob.R catnet.marginal.prob.R
        catnet.samples.R catnet.loglik.R catnet.entropy.R
        catnet.categor.R catnet.dist.R catnet.plot.R catnet.find.R
        catnet.search.R catnet.predict.R catnet.chisq.R catnet.histo.R
        catnet.cluster.R catnet.bif.R catnet.quant.R catnet.pathway.R
        zzz.R
LazyLoad: yes
Repository: CRAN
Date/Publication: 2019-04-16 16:33:01 UTC
Packaged: 2019-04-15 14:52:23 UTC; nbalov
NeedsCompilation: yes
Built: R 3.6.1; x86_64-apple-darwin13.4.0; 2019-08-28 20:01:54 UTC; unix
