{ "_id": "6a212694cd65a98ecbd210af", "Package": "BiDAG", "Type": "Package", "Title": "Bayesian Inference for Directed Acyclic Graphs", "Version": "2.1.4", "Author": "Polina Suter [aut, cre], Jack Kuipers [aut]", "Maintainer": "Polina Suter ", "Description": "Implementation of a collection of MCMC methods for\nBayesian structure learning of directed acyclic graphs (DAGs),\nboth from continuous and discrete data. For efficient inference\non larger DAGs, the space of DAGs is pruned according to the\ndata. To filter the search space, the algorithm employs a\nhybrid approach, combining constraint-based learning with\nsearch and score. A reduced search space is initially defined\non the basis of a skeleton obtained by means of the\nPC-algorithm, and then iteratively improved with search and\nscore. Search and score is then performed following two\napproaches: Order MCMC, or Partition MCMC. The BGe score is\nimplemented for continuous data and the BDe score is\nimplemented for binary data or categorical data. The algorithms\nmay provide the maximum a posteriori (MAP) graph or a sample (a\ncollection of DAGs) from the posterior distribution given the\ndata. All algorithms are also applicable for structure learning\nand sampling for dynamic Bayesian networks. References: J.\nKuipers, P. Suter, G. Moffa (2022)\n, N. Friedman and D. Koller\n(2003) , J. Kuipers and G. Moffa\n(2017) , M. Kalisch et al.\n(2012) , D. Geiger and D. Heckerman\n(2002) , P. Suter, J. Kuipers, G.\nMoffa, N.Beerenwinkel (2023) .", "Acknowledgments": "We would like to thank Giusi Moffa for discussion and\ncomments on the package and its manual.", "License": "GPL (>= 2)", "RoxygenNote": "7.2.0", "Encoding": "UTF-8", "LazyData": "TRUE", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-04 07:10:24 UTC", "User": "root" }, "Config/pak/sysreqs": "libglpk-dev libxml2-dev zlib1g-dev", "Repository": "https://polinasuter.r-universe.dev", "Date/Publication": "2023-05-16 11:46:02 UTC", "RemoteUrl": "https://github.com/cran/BiDAG", "RemoteRef": "HEAD", "RemoteSha": "6097d8ea159f5e4dc3c95b6d815d8e827efd5532", "MD5sum": "2295e48e3a71beff881f265d66bcccf6", "_user": "polinasuter", "_type": "src", "_file": "BiDAG_2.1.4.tar.gz", "_fileid": "f1627fc94682f6e31566be2f2d422b3662ec380cf7b75f551cd7aa378d41d0a9", "_filesize": 1344911, "_sha256": "f1627fc94682f6e31566be2f2d422b3662ec380cf7b75f551cd7aa378d41d0a9", "_created": "2026-06-04T07:10:24.000Z", "_published": 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