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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  2 years and 9 months ago 652 main
conda 1.3 MB | osx-64/r-bdgraph-2.71-r41h910fb29_0.conda  2 years and 9 months ago 340 main
conda 1.3 MB | osx-64/r-bdgraph-2.71-r42h910fb29_0.conda  2 years and 9 months ago 356 main
conda 1.3 MB | linux-64/r-bdgraph-2.71-r41h38f115c_0.conda  2 years and 9 months ago 2174 main
conda 1.3 MB | linux-64/r-bdgraph-2.71-r42h38f115c_0.conda  2 years and 9 months ago 2164 main

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