bnstruct (1.0.6)

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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.

Maintainer: Alberto Franzin
Author(s): Francesco Sambo [aut], Alberto Franzin [aut, cre]

License: GPL (>= 2) | file LICENSE

Uses: bitops, igraph, Matrix, graph, testthat, qgraph, knitr
Reverse suggests: BoltzMM

Released 7 months ago.

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