bnstruct: Bayesian Network Structure Learning from Data with Missing Values

Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.

Package details

AuthorFrancesco Sambo [aut], Alberto Franzin [aut, cre]
MaintainerAlberto Franzin <[email protected]>
LicenseGPL (>= 2) | file LICENSE
Version1.0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bnstruct")

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bnstruct documentation built on Aug. 31, 2018, 5:04 p.m.