bnstruct (1.0.2)

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Bayesian Network Structure Learning from Data with Missing Values.

http://cran.r-project.org/web/packages/bnstruct

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

License: GPL (>= 2) | file LICENSE

Uses: bitops, igraph, Matrix, graph, testthat, knitr

Released about 1 year ago.


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