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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 1105 main cf202003
conda 1.3 MB | win-64/r-bdgraph-2.62-r36h796a38f_0.tar.bz2  5 years and 11 months ago 1081 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r36hc5da6b9_0.tar.bz2  5 years and 11 months ago 352 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r35hc5da6b9_0.tar.bz2  5 years and 11 months ago 338 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r36h0357c0b_0.tar.bz2  5 years and 11 months ago 3997 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r35h0357c0b_0.tar.bz2  5 years and 11 months ago 3926 main cf202003

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