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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 4 months ago 463 main
conda 1.2 MB | win-64/r-bdgraph-2.73-r43h8ae3a7c_0.conda  1 year and 4 months ago 469 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r43hec7cca1_0.conda  1 year and 4 months ago 312 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r44hec7cca1_0.conda  1 year and 4 months ago 313 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r43h93ab643_0.conda  1 year and 4 months ago 1546 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r44h93ab643_0.conda  1 year and 4 months ago 1403 main

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