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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 464 main
conda 1.2 MB | win-64/r-bdgraph-2.73-r43h8ae3a7c_0.conda  1 year and 4 months ago 470 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r43hec7cca1_0.conda  1 year and 4 months ago 313 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r44hec7cca1_0.conda  1 year and 4 months ago 314 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r43h93ab643_0.conda  1 year and 4 months ago 1565 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r44h93ab643_0.conda  1 year and 4 months ago 1422 main

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