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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-2.70-r41ha856d6a_0.tar.bz2  3 years and 3 months ago 558 main
conda 1.5 MB | osx-64/r-bdgraph-2.70-r41h910fb29_0.tar.bz2  3 years and 3 months ago 85 main
conda 1.5 MB | osx-64/r-bdgraph-2.70-r42h910fb29_0.tar.bz2  3 years and 3 months ago 84 main
conda 1.4 MB | linux-64/r-bdgraph-2.70-r42h7525677_0.tar.bz2  3 years and 3 months ago 2527 main
conda 1.5 MB | linux-64/r-bdgraph-2.70-r41h7525677_0.tar.bz2  3 years and 3 months ago 2530 main

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