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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 461 main
conda 1.2 MB | win-64/r-bdgraph-2.73-r43h8ae3a7c_0.conda  1 year and 4 months ago 467 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r43hec7cca1_0.conda  1 year and 4 months ago 311 main
conda 1.2 MB | osx-64/r-bdgraph-2.73-r44hec7cca1_0.conda  1 year and 4 months ago 312 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r43h93ab643_0.conda  1 year and 4 months ago 1533 main
conda 1.2 MB | linux-64/r-bdgraph-2.73-r44h93ab643_0.conda  1 year and 4 months ago 1384 main

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