{ "_id": "6a1ede6eb401979e73410364", "Package": "stagedtrees", "Type": "Package", "Title": "Staged Event Trees", "Version": "2.3.0.9999", "Authors@R": "c(\nperson(given = \"Gherardo\", family = \"Varando\", role = c(\"aut\", \"cre\"),\nemail = \"gherardo.varando@gmail.com\",\ncomment = c(ORCID = \"0000-0002-6708-1103\")),\nperson(given = \"Federico\", family = \"Carli\", role = \"aut\"),\nperson(given = \"Manuele\", family = \"Leonelli\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2562-5192\")),\nperson(given = \"Eva\", family = \"Riccomagno\", role = \"aut\")\n)", "Description": "Creates and fits staged event tree probability models,\nwhich are probabilistic graphical models capable of\nrepresenting asymmetric conditional independence statements for\ncategorical variables. Includes functions to create, plot and\nfit staged event trees from data, as well as many efficient\nstructure learning algorithms. References: Carli F, Leonelli M,\nRiccomagno E, Varando G (2022). .\nCollazo R. A., Görgen C. and Smith J. Q. (2018,\nISBN:9781498729604). Görgen C., Bigatti A., Riccomagno E. and\nSmith J. Q. (2018) . Thwaites P. A., Smith,\nJ. Q. (2017) . Barclay L. M., Hutton J. L.\nand Smith J. Q. (2013) . Smith\nJ. Q. and Anderson P. E. (2008)\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE)", "URL": "https://github.com/stagedtrees/stagedtrees", "BugReports": "https://github.com/stagedtrees/stagedtrees/issues", "Config/testthat/edition": "3", "Repository": "https://stagedtrees.r-universe.dev", "Date/Publication": "2025-06-24 07:00:17 UTC", "RemoteUrl": "https://github.com/stagedtrees/stagedtrees", "RemoteRef": "HEAD", "RemoteSha": "654e8c5252c889a1e197581929dd041349bacd1a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 07:53:48 UTC", "User": "root" }, "Author": "Gherardo Varando [aut, cre] (ORCID:\n),\nFederico Carli [aut],\nManuele Leonelli [aut] (ORCID: ),\nEva Riccomagno [aut]", "Maintainer": "Gherardo Varando ", "MD5sum": "0658d078d6aa001d1b0d170dddc46218", "_user": "stagedtrees", "_type": "src", "_file": "stagedtrees_2.3.0.9999.tar.gz", "_fileid": 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"table": true, "tojson": true }, { "name": "trajectories", "title": "Hospital trajectories", "object": "trajectories", "class": [ "data.frame" ], "fields": [ "SEX", "AGE", "ICU", "RSP", "OUT" ], "rows": 10000, "table": true, "tojson": true } ], "_help": [ { "page": "as_adj_matrix", "title": "Convert to an adjacency matrix", "topics": [ "as_adj_matrix", "as_adj_matrix.ceg", "as_adj_matrix.parentslist" ] }, { "page": "as_bn", "title": "Convert to a 'bnlearn' object", "topics": [ "as_bn", "as_bn.parentslist", "as_bn.sevt" ] }, { "page": "as_parentslist", "title": "Obtain the equivalent DAG as list of parents", "topics": [ "as_parentslist", "as_parentslist.bn", "as_parentslist.bn.fit", "as_parentslist.list", "as_parentslist.sevt", "as_parentslist.string", "parentslist" ] }, { "page": "as_sevt", "title": "Coerce to sevt", "topics": [ "as_sevt", "as_sevt.bn", "as_sevt.bn.fit", "as_sevt.parentslist" ] }, { "page": "print.parentslist", "title": "Print a parentslist object", "topics": [ "as.character.parentslist", "print.parentslist" ] }, { "page": "Asym", "title": "Asym dataset", "topics": [ "Asym" ] }, { "page": "barplot.sevt", "title": "Bar plots of stage probabilities", "topics": [ "barplot.sevt" ] }, { "page": "ceg", "title": "Chain event graph (CEG)", "topics": [ "ceg" ] }, { "page": "ci_matrices", "title": "Conditional independences matrices of stages", "topics": [ "ci_matrices" ] }, { "page": "cid", "title": "Context specific interventional discrepancy", "topics": [ "cid" ] }, { "page": "compare_stages", "title": "Compare two staged event tree", "topics": [ "compare_stages", "diff_stages", "hamming_stages" ] }, { "page": "confint.sevt", "title": "Confidence intervals for staged event tree parameters", "topics": [ "confint.sevt" ] }, { "page": "copy_sevt", "title": "Copy a sevt obejct", "topics": [ "copy_sevt" ] }, { "page": "covid_patients", "title": "Trajectories of hospitalized SARS-CoV-2 patients", "topics": [ "covid_patients" ] }, { "page": "depsubtree", "title": "Extract dependency subtree", "topics": [ "depsubtree" ] }, { "page": "falls_long", "title": "Falls Intervention Dataset", "topics": [ "falls_long" ] }, { "page": "find_roots", "title": "find roots in graphs", "topics": [ "find_roots" ] }, { "page": "full_indep", "title": "Full and independent staged event tree", "topics": [ "full", "full.data.frame", "full.table", "full_indep", "indep", "indep.data.frame", "indep.table" ] }, { "page": "generate_linear_dataset", "title": "Generate a random binary dataset for classification", "topics": [ "generate_linear_dataset" ] }, { "page": "generate_random_dataset", "title": "Generate a random binary dataset", "topics": [ "generate_random_dataset" ] }, { "page": "generate_xor_dataset", "title": "Generate a xor dataset", "topics": [ "generate_xor_dataset" ] }, { "page": "get_stage", "title": "Get stage or path", "topics": [ "get_path", "get_stage" ] }, { "page": "igraph-conversion", "title": "'igraph' conversion", "topics": [ "as_igraph", 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[ "plot.parentslist" ] }, { "page": "plot.sevt", "title": "Plot method for staged event trees", "topics": [ "make_stages_col", "plot.sevt" ] }, { "page": "Pokemon", "title": "Pokemon Go Users", "topics": [ "Pokemon" ] }, { "page": "potential_outcomes", "title": "Potential Outcomes", "topics": [ "potential_outcomes", "randomize_sevt" ] }, { "page": "predict.sevt", "title": "Predict method for staged event tree", "topics": [ "predict.sevt" ] }, { "page": "print.sevt", "title": "Print a staged event tree", "topics": [ "print.sevt" ] }, { "page": "prob", "title": "Probabilities for a staged event tree", "topics": [ "prob" ] }, { "page": "random_parentslist", "title": "Generate a random 'parentslist' object (DAG)", "topics": [ "random_parentslist" ] }, { "page": "random_sevt", "title": "Generate a random (fitted) sevt", "topics": [ "random_sevt", "random_sevt.list", "random_sevt.parentslist", "random_sevt.sevt" ] }, { "page": "rename_stage", "title": "Rename stage(s) in staged event tree", "topics": [ "rename_stage" ] }, { "page": "sample_from", "title": "Sample from a staged event tree", "topics": [ "sample_from" ] }, { "page": "search_best", "title": "Optimal Order Search", "topics": [ "search_best" ] }, { "page": "search_greedy", "title": "Greedy Order Search", "topics": [ "search_greedy" ] }, { "page": "sevt", "title": "Staged event tree (sevt) class", "topics": [ "sevt", "sevt.data.frame", "sevt.list", "sevt.table" ] }, { "page": "sevt_add", "title": "Add a variable to a staged event tree", "topics": [ "sevt_add" ] }, { "page": "sevt_df", "title": "Number of parameters of a staged event tree", "topics": [ "sevt_df" ] }, { "page": "sevt_fit", "title": "Fit a staged event tree", "topics": [ "sevt_fit" ] }, { "page": "sevt_fit_em", "title": "Fit a staged event tree with the hard Expectation-Maximization (EM) algorithm", "topics": [ "sevt_fit_em" ] }, { "page": "sevt_nvar", "title": "Number of variables", "topics": [ "sevt_nvar" ] }, { "page": "sevt_simplify", "title": 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