{ "_id": "6a1db8921d7bb097a0a52e57", "Type": "Package", "Package": "XOMultinom", "Title": "Exact Distributions of Some Functions of the Ordered Multinomial\nCounts", "Version": "0.8.7", "Date": "2026-05-28", "Authors@R": "c(\nperson(\"Sergio\", \"Venturini\", , \"sergio.venturini@unicatt.it\", role = c(\"aut\", \"cre\")),\nperson(\"Marco\", \"Bonetti\", , \"marco.bonetti@unibocconi.it\", role = \"ctb\")\n)", "Maintainer": "Sergio Venturini ", "Description": "Implements exact algorithms for computing the\ndistributions of the maximum, the minimum, the range, and the\nsum of the J largest order statistics of a multinomial random\nvector. Two complementary algorithm families are provided: the\nrecursive tree-traversal method of Bonetti, Cirillo, and Ogay\n(2019) , which covers all four\nstatistics under the equiprobable hypothesis; and the\nstochastic matrix method of Corrado (2011)\n, which handles the maximum,\nminimum, and range for arbitrary probability vectors. Functions\nfor power evaluation and sample size determination for\ngoodness-of-fit tests based on these order statistics are also\nprovided. Computationally intensive routines are implemented\nin 'C++' for efficiency.", "License": "GPL-3", "URL": "https://github.com/sergioventurini/XOMultinom", "BugReports": "https://github.com/sergioventurini/XOMultinom/issues", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "8.0.0", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-01 16:46:49 UTC", "User": "root" }, "Author": "Sergio Venturini [aut, cre], Marco Bonetti [ctb]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-01 08:40:12 UTC", "RemoteUrl": "https://github.com/cran/XOMultinom", "RemoteRef": "HEAD", "RemoteSha": "8234e559efb9978950b0860a153b62fdb4696455", "MD5sum": "d49c701aad06d9ce1ce989793d54ee19", "_user": "cran", "_type": "src", "_file": "XOMultinom_0.8.7.tar.gz", "_fileid": "cd67b9964966bf9d1ce28c90c5d3c200dadcd3d63d779b5a18a2b3e7362474ee", "_filesize": 374761, "_sha256": "cd67b9964966bf9d1ce28c90c5d3c200dadcd3d63d779b5a18a2b3e7362474ee", 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