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Statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.

copied from cf-post-staging / r-bdgraph
Type Size Name Uploaded Downloads Labels
conda 1.4 MB | win-64/r-bdgraph-2.68-r40ha856d6a_0.tar.bz2  3 years and 5 months ago 627 main
conda 1.4 MB | win-64/r-bdgraph-2.68-r41ha856d6a_0.tar.bz2  3 years and 5 months ago 620 main
conda 1.4 MB | osx-64/r-bdgraph-2.68-r40hf1020bc_0.tar.bz2  3 years and 5 months ago 87 main
conda 1.4 MB | osx-64/r-bdgraph-2.68-r41hf1020bc_0.tar.bz2  3 years and 5 months ago 85 main
conda 1.4 MB | linux-64/r-bdgraph-2.68-r40h7525677_0.tar.bz2  3 years and 5 months ago 2570 main
conda 1.4 MB | linux-64/r-bdgraph-2.68-r41h7525677_0.tar.bz2  3 years and 5 months ago 2619 main

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