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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 2.2 MB | win-64/r-bdgraph-2.65-r40ha856d6a_0.tar.bz2  3 years and 8 months ago 714 main
conda 2.2 MB | win-64/r-bdgraph-2.65-r41ha856d6a_0.tar.bz2  3 years and 8 months ago 727 main
conda 2.2 MB | osx-64/r-bdgraph-2.65-r41h7146fb8_0.tar.bz2  3 years and 8 months ago 85 main
conda 2.3 MB | osx-64/r-bdgraph-2.65-r40h7146fb8_0.tar.bz2  3 years and 8 months ago 90 main
conda 2.2 MB | linux-64/r-bdgraph-2.65-r41h7525677_0.tar.bz2  3 years and 8 months ago 2778 main
conda 2.2 MB | linux-64/r-bdgraph-2.65-r40h7525677_0.tar.bz2  3 years and 8 months ago 2786 main

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