{ "_id": "6a1050b2acfb0bcc41ca120c", "Package": "statcomp", "Title": "Statistical Complexity and Information Measures for Time Series\nAnalysis", "Version": "0.1.0", "Authors@R": "c(person(\"Sebastian\", \"Sippel\", , \"sebastian.sippel@env.ethz.ch\", role = c(\"aut\", \"cre\"), comment = \"Original package development was supported by MPI Biogeochemistry, BGI Department\"), person(\"Holger\", \"Lange\", , \"Holger.Lange@nibio.no\", role = c(\"aut\")), person(\"Fabian\", \"Gans\", , \"fgans@bgc-jena.mpg.de\", role = c(\"aut\")))", "Description": "An implementation of local and global statistical\ncomplexity measures (aka Information Theory Quantifiers, ITQ)\nfor time series analysis based on ordinal statistics (Bandt and\nPompe (2002) ). Several\ndistance measures that operate on ordinal pattern\ndistributions, auxiliary functions for ordinal pattern\nanalysis, and generating functions for stochastic and\ndeterministic-chaotic processes for ITQ testing are provided.", "License": "GPL-2", "LazyData": "true", "RoxygenNote": "6.1.1", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-10 05:25:30 UTC", "User": "root" }, "Author": "Sebastian Sippel [aut, cre] (Original package development was\nsupported by MPI Biogeochemistry, BGI Department), Holger Lange\n[aut], Fabian Gans [aut]", "Maintainer": "Sebastian Sippel ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2019-10-28 22:40:02 UTC", "RemoteUrl": "https://github.com/cran/statcomp", "RemoteRef": "HEAD", "RemoteSha": "6d34a467d90f37b6acd84996d35058b83f737a8f", "MD5sum": "642c18031fbb9f2dc64bf0381406a4a5", "_user": "cran", "_type": "src", "_file": "statcomp_0.1.0.tar.gz", "_fileid": 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