bnstruct: an R package for Bayesian Network structure learning in the presence of missing data

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Authors Alberto Franzin, Francesco Sambo, Barbara Di Camillo
Journal/Conference Name Bioinformatics
Paper Category
Paper Abstract 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, particularly the manipulation of missing data, which is a common situation in practice.
Date of publication 2017
Code Programming Language R

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