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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-2.73-r44h8ae3a7c_0.conda  1 year and 6 months ago 474 main
conda 1.2 MB | win-64/r-bdgraph-2.73-r43h8ae3a7c_0.conda  1 year and 6 months ago 479 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r43hec7cca1_0.conda  1 year and 6 months ago 322 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r44hec7cca1_0.conda  1 year and 6 months ago 324 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r43h93ab643_0.conda  1 year and 6 months ago 1648 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r44h93ab643_0.conda  1 year and 6 months ago 1506 main

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