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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 1.3 MB | win-64/r-bdgraph-2.62-r35h796a38f_0.tar.bz2  5 years and 11 months ago 1101 main cf202003
conda 1.3 MB | win-64/r-bdgraph-2.62-r36h796a38f_0.tar.bz2  5 years and 11 months ago 1077 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r36hc5da6b9_0.tar.bz2  5 years and 11 months ago 350 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r35hc5da6b9_0.tar.bz2  5 years and 11 months ago 336 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r36h0357c0b_0.tar.bz2  5 years and 11 months ago 3965 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r35h0357c0b_0.tar.bz2  5 years and 11 months ago 3892 main cf202003

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