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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-staging / r-bdgraph
Type Size Name Uploaded Downloads Labels
conda 1.3 MB | win-64/r-bdgraph-2.62-r35h796a38f_0.tar.bz2  5 years and 2 months ago 1080 main cf202003
conda 1.3 MB | win-64/r-bdgraph-2.62-r36h796a38f_0.tar.bz2  5 years and 2 months ago 1057 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r36hc5da6b9_0.tar.bz2  5 years and 2 months ago 336 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r35hc5da6b9_0.tar.bz2  5 years and 2 months ago 325 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r36h0357c0b_0.tar.bz2  5 years and 2 months ago 3422 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r35h0357c0b_0.tar.bz2  5 years and 2 months ago 3363 main cf202003

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