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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 7 months ago 1092 main cf202003
conda 1.3 MB | win-64/r-bdgraph-2.62-r36h796a38f_0.tar.bz2  5 years and 7 months ago 1068 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r36hc5da6b9_0.tar.bz2  5 years and 7 months ago 342 main cf202003
conda 1.3 MB | osx-64/r-bdgraph-2.62-r35hc5da6b9_0.tar.bz2  5 years and 7 months ago 329 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r36h0357c0b_0.tar.bz2  5 years and 7 months ago 3710 main cf202003
conda 1.3 MB | linux-64/r-bdgraph-2.62-r35h0357c0b_0.tar.bz2  5 years and 7 months ago 3649 main cf202003

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