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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 8 months ago 725 main
conda 2.1 MB | win-64/r-bdgraph-2.66-r40ha856d6a_0.tar.bz2  3 years and 8 months ago 715 main
conda 2.2 MB | osx-64/r-bdgraph-2.66-r41h7146fb8_0.tar.bz2  3 years and 8 months ago 90 main
conda 2.2 MB | osx-64/r-bdgraph-2.66-r40h7146fb8_0.tar.bz2  3 years and 8 months ago 86 main
conda 2.1 MB | linux-64/r-bdgraph-2.66-r40h7525677_0.tar.bz2  3 years and 8 months ago 2735 main
conda 2.1 MB | linux-64/r-bdgraph-2.66-r41h7525677_0.tar.bz2  3 years and 8 months ago 2719 main

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