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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 2 months ago 615 main
conda 1.4 MB | win-64/r-bdgraph-2.68-r41ha856d6a_0.tar.bz2  3 years and 2 months ago 608 main
conda 1.4 MB | osx-64/r-bdgraph-2.68-r40hf1020bc_0.tar.bz2  3 years and 2 months ago 80 main
conda 1.4 MB | osx-64/r-bdgraph-2.68-r41hf1020bc_0.tar.bz2  3 years and 2 months ago 78 main
conda 1.4 MB | linux-64/r-bdgraph-2.68-r40h7525677_0.tar.bz2  3 years and 2 months ago 2344 main
conda 1.4 MB | linux-64/r-bdgraph-2.68-r41h7525677_0.tar.bz2  3 years and 2 months ago 2391 main

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