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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 1.2 MB | win-64/r-bdgraph-2.71-r41ha856d6a_0.conda  3 years and 13 days ago 664 main
conda 1.3 MB | osx-64/r-bdgraph-2.71-r41h910fb29_0.conda  3 years and 13 days ago 348 main
conda 1.3 MB | osx-64/r-bdgraph-2.71-r42h910fb29_0.conda  3 years and 13 days ago 365 main
conda 1.3 MB | linux-64/r-bdgraph-2.71-r41h38f115c_0.conda  3 years and 13 days ago 2354 main
conda 1.3 MB | linux-64/r-bdgraph-2.71-r42h38f115c_0.conda  3 years and 13 days ago 2359 main

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