{ "_id": "6a1ee0b8b401979e7341086b", "Package": "POSetR", "Type": "Package", "Title": "Partially Ordered Sets in R", "Version": "1.1.4", "Date": "2023-12-04", "Authors@R": "c(person(\"Alberto\", \"Arcagni\", role = c(\"aut\", \"cre\"), email = \"alberto.arcagni@uniroma1.it\"), person(\"Alessandro\", \"Avellone\", role = c(\"aut\"), email = \"alessandro.avellone@unimib.it\"), person(\"Marco\", \"Fattore\", role = c(\"aut\"), email = \"marco.fattore@unimib.it\"))", "Author": "Alberto Arcagni [aut, cre], Alessandro Avellone [aut], Marco\nFattore [aut]", "Maintainer": "Alberto Arcagni ", "Description": "Provides a set of basic tools for generating, analyzing,\nsummarizing and visualizing finite partially ordered sets. In\nparticular, it implements flexible and very efficient\nalgorithms for the extraction of linear extensions and for the\ncomputation of mutual ranking probabilities and other\nuser-defined functionals, over them. The package is meant as a\ncomputationally efficient \"engine\", for the implementation of\ndata analysis procedures, on systems of multidimensional\nordinal indicators and partially ordered data, in the spirit of\nFattore, M. (2016) \"Partially ordered sets and the measurement\nof multidimensional ordinal deprivation\", Social Indicators\nResearch , and Fattore M. and\nArcagni, A. (2018) \"A reduced posetic approach to the\nmeasurement of multidimensional ordinal deprivation\", Social\nIndicators Research .", "License": "GPL (>= 2)", "RdMacros": "Rdpack", "SystemRequirements": "C++17", "RoxygenNote": "7.2.3", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-20 07:13:56 UTC", "User": "root" }, "Config/pak/sysreqs": "libglpk-dev libxml2-dev", "Repository": "https://albertoarcagni.r-universe.dev", "Date/Publication": "2023-12-05 02:39:38 UTC", "RemoteUrl": "https://github.com/cran/POSetR", "RemoteRef": "HEAD", "RemoteSha": "062567b6451485102e87e71c77aae9fffe1c1a23", "MD5sum": "3cf9b13e0cdf8c28c6b8337a1b0eee9b", "_user": "albertoarcagni", "_type": "src", "_file": "POSetR_1.1.4.tar.gz", "_fileid": "e9cdd527efa569a61546762292f5d77a94985e8da1ca8b6a7a40439ac521153b", "_filesize": 186864, "_sha256": "e9cdd527efa569a61546762292f5d77a94985e8da1ca8b6a7a40439ac521153b", "_created": "2026-05-20T07:13:56.000Z", "_published": 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