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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 21 days ago 666 main
conda 1.3 MB | osx-64/r-bdgraph-2.71-r41h910fb29_0.conda  3 years and 21 days ago 349 main
conda 1.3 MB | osx-64/r-bdgraph-2.71-r42h910fb29_0.conda  3 years and 21 days ago 366 main
conda 1.3 MB | linux-64/r-bdgraph-2.71-r41h38f115c_0.conda  3 years and 21 days ago 2369 main
conda 1.3 MB | linux-64/r-bdgraph-2.71-r42h38f115c_0.conda  3 years and 21 days ago 2377 main

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