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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-1.0.13-r41h6d2157b_0.tar.bz2  3 years and 5 months ago 560 main
conda 1.3 MB | osx-64/r-bnstruct-1.0.13-r42h815d134_0.tar.bz2  3 years and 5 months ago 94 main
conda 1.3 MB | osx-64/r-bnstruct-1.0.13-r41h815d134_0.tar.bz2  3 years and 5 months ago 97 main
conda 1.3 MB | linux-64/r-bnstruct-1.0.13-r41h06615bd_0.tar.bz2  3 years and 5 months ago 2565 main
conda 1.3 MB | linux-64/r-bnstruct-1.0.13-r42h06615bd_0.tar.bz2  3 years and 5 months ago 2604 main

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