{ "_id": "6a21436dcd65a98ecbd2adb5", "Package": "missSOM", "Version": "1.0.1", "Title": "Self-Organizing Maps with Built-in Missing Data Imputation", "Authors@R": "c(person(given= \"Sara\",\nfamily = \"Rejeb\",\nrole = c(\"aut\", \"cre\"),\nemail = \"sara.rejeb@live.fr\"),\nperson(given = \"Tabea\",\nfamily = \"Rebafka\",\nrole = \"ctb\"),\nperson(given = \"Catherine\",\nfamily = \"Duveau\",\nrole = \"ctb\"),\nperson(given = \"Ron\",\nfamily = \"Wehrens\",\nrole = \"cph\",\ncomment = \"Author of included functions from the 'kohonen' package\"),\nperson(given = \"Johannes\",\nfamily = \"Kruisselbrink\",\nrole = \"cph\",\ncomment = \"Author of included functions from the 'kohonen' package\"))", "Description": "The Self-Organizing Maps with Built-in Missing Data\nImputation. Missing values are imputed and regularly updated\nduring the online Kohonen algorithm. Our method can be used for\ndata visualisation, clustering or imputation of missing data.\nIt is an extension of the online algorithm of the 'kohonen'\npackage. The method is described in the article\n\"Self-Organizing Maps for Exploration of Partially Observed\nData and Imputation of Missing Values\" by S. Rejeb, C. Duveau,\nT. Rebafka (2022) .", "License": "GPL (>= 2)", "NeedsCompilation": "yes", "RoxygenNote": "7.1.2", "Encoding": "UTF-8", "Packaged": { "Date": "2026-06-04 09:14:28 UTC", "User": "root" }, "Author": "Sara Rejeb [aut, cre], Tabea Rebafka [ctb], Catherine Duveau\n[ctb], Ron Wehrens [cph] (Author of included functions from the\n'kohonen' package), Johannes Kruisselbrink [cph] (Author of\nincluded functions from the 'kohonen' package)", "Maintainer": "Sara Rejeb ", "Repository": "https://rejebsara.r-universe.dev", "Date/Publication": "2022-05-05 05:20:06 UTC", "RemoteUrl": "https://github.com/cran/missSOM", "RemoteRef": "HEAD", "RemoteSha": "72b81b48927948cf1492a80c290c5c64d29169e6", "MD5sum": "1746230b248a8d66f670bf429a16a53f", "_user": "rejebsara", "_type": "src", "_file": "missSOM_1.0.1.tar.gz", "_fileid": "ed1859c650effa561ce2ffcc021aff46b84f727c55d339dd8a0502f95315dab7", "_filesize": 378942, "_sha256": "ed1859c650effa561ce2ffcc021aff46b84f727c55d339dd8a0502f95315dab7", "_created": 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