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bnstruct: an R package for Bayesian Network structure learning in the presence of missing data
2016
Bioinformatics
Preserved Fulltext
Motivation: A Bayesian Network is a probabilistic graphical model that encodes probabilistic dependencies between a set of random variables. We introduce bnstruct, an open source R package to (i) learn the structure and the parameters of a Bayesian Network from data in the presence of missing values and (ii) perform reasoning and inference on the learned Bayesian Networks. To the best of our knowledge, there is no other open source software that provides methods for all of these tasks,
doi:10.1093/bioinformatics/btw807
pmid:28003263
fatcat:vkycag4nx5df7mxhvuf7s3bbfq