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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 2.1 MB | win-64/r-bdgraph-2.66-r41ha856d6a_0.tar.bz2  3 years and 10 months ago 736 main
conda 2.1 MB | win-64/r-bdgraph-2.66-r40ha856d6a_0.tar.bz2  3 years and 10 months ago 727 main
conda 2.2 MB | osx-64/r-bdgraph-2.66-r41h7146fb8_0.tar.bz2  3 years and 10 months ago 98 main
conda 2.2 MB | osx-64/r-bdgraph-2.66-r40h7146fb8_0.tar.bz2  3 years and 10 months ago 95 main
conda 2.1 MB | linux-64/r-bdgraph-2.66-r40h7525677_0.tar.bz2  3 years and 10 months ago 2858 main
conda 2.1 MB | linux-64/r-bdgraph-2.66-r41h7525677_0.tar.bz2  3 years and 10 months ago 2844 main

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