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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.

copied from cf-post-staging / r-bnstruct
Type Size Name Uploaded Downloads Labels
conda 1.3 MB | win-64/r-bnstruct-1.0.10-r36h6d2157b_0.tar.bz2  4 years and 4 months ago 842 main
conda 1.3 MB | win-64/r-bnstruct-1.0.10-r40h6d2157b_0.tar.bz2  4 years and 4 months ago 829 main
conda 1.3 MB | osx-64/r-bnstruct-1.0.10-r36h28b5c78_0.tar.bz2  4 years and 4 months ago 166 main
conda 1.3 MB | osx-64/r-bnstruct-1.0.10-r40h28b5c78_0.tar.bz2  4 years and 4 months ago 168 main
conda 1.3 MB | linux-64/r-bnstruct-1.0.10-r36hcfec24a_0.tar.bz2  4 years and 4 months ago 2870 main
conda 1.3 MB | linux-64/r-bnstruct-1.0.10-r40hcfec24a_0.tar.bz2  4 years and 4 months ago 2816 main

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