Allows the user to learn Bayesian networks from datasets containing thousands of variables. It focuses on scorebased learning, mainly the 'BIC' and the 'BDeu' score functions. It provides stateoftheart algorithms for the following tasks: (1) parent set identification  Mauro Scanagatta (2015) <http://papers.nips.cc/paper/5803learningbayesiannetworkswiththousandsofvariables>; (2) general structure optimization  Mauro Scanagatta (2018) <doi:10.1007/s1099401857019>, Mauro Scanagatta (2018) <http://proceedings.mlr.press/v73/scanagatta17a.html>; (3) bounded treewidth structure optimization  Mauro Scanagatta (2016) <http://papers.nips.cc/paper/6232learningtreewidthboundedbayesiannetworkswiththousandsofvariables>; (4) structure learning on incomplete data sets  Mauro Scanagatta (2018) <doi:10.1016/j.ijar.2018.02.004>. Distributed under the LGPL3 by IDSIA.
Package details 


Author  Mauro Scanagatta [aut, cre] 
Maintainer  Mauro Scanagatta <mauro@idsia.ch> 
License  LGPL3 
Version  1.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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