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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 2.3 MB | win-64/r-bdgraph-2.67-r41ha856d6a_0.tar.bz2  3 years and 8 months ago 715 main
conda 2.3 MB | win-64/r-bdgraph-2.67-r40ha856d6a_0.tar.bz2  3 years and 8 months ago 720 main
conda 2.4 MB | osx-64/r-bdgraph-2.67-r40h41825bf_0.tar.bz2  3 years and 8 months ago 93 main
conda 2.3 MB | osx-64/r-bdgraph-2.67-r41h41825bf_0.tar.bz2  3 years and 8 months ago 90 main
conda 2.3 MB | linux-64/r-bdgraph-2.67-r40h7525677_0.tar.bz2  3 years and 8 months ago 2806 main
conda 2.4 MB | linux-64/r-bdgraph-2.67-r41h7525677_0.tar.bz2  3 years and 8 months ago 2790 main

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