{ "_id": "6a115054acfb0bcc41cea3af", "Package": "HDoutliers", "Version": "1.0.4", "Date": "2022-02-10", "Title": "Leland Wilkinson's Algorithm for Detecting Multidimensional\nOutliers", "Authors@R": "c(person(\"Chris\", \"Fraley\", role = c(\"aut\", \"cre\"),\nemail = \"fraley@u.washington.edu\"),\nperson(\"Leland\", \"Wilkinson\", role = \"ctb\",\nemail = \"leland.wilkinson@gmail.com\"))", "Author": "Chris Fraley [aut, cre], Leland Wilkinson [ctb]", "Maintainer": "Chris Fraley ", "Description": "An implementation of an algorithm for outlier detection\nthat can handle a) data with a mixed categorical and continuous\nvariables, b) many columns of data, c) many rows of data, d)\noutliers that mask other outliers, and e) both unidimensional\nand multidimensional datasets. Unlike ad hoc methods found in\nmany machine learning papers, HDoutliers is based on a\ndistributional model that uses probabilities to determine\noutliers.", "License": "MIT + file LICENSE", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 06:56:27 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-02-11 11:20:02 UTC", "RemoteUrl": "https://github.com/cran/HDoutliers", "RemoteRef": "HEAD", "RemoteSha": "088fc14ca242cebfa766c1da4ea6ea8d67931271", "MD5sum": "fec662f1f05f1f8bd1c61cb03040b552", "_user": "cran", "_type": "src", "_file": "HDoutliers_1.0.4.tar.gz", "_fileid": "1f0b6f54a0a50a52e938e5b52f5490c544e533e2b042f692b9366d1527f214be", "_filesize": 3454772, "_sha256": "1f0b6f54a0a50a52e938e5b52f5490c544e533e2b042f692b9366d1527f214be", "_created": "2026-05-23T06:56:27.000Z", "_published": "2026-05-23T06:59:32.755Z", "_distro": "noble", "_jobs": [ { "job": 77504604376, "time": 151, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7175113416" }, { "job": 77504604377, "time": 150, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7175113362" }, { "job": 77504415973, "time": 206, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7175096808" }, { "job": 77504604350, "time": 134, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7175111406" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26326241653", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/HDoutliers", "_commit": { "id": "088fc14ca242cebfa766c1da4ea6ea8d67931271", "author": "Chris Fraley ", "committer": "cran-robot ", "message": "version 1.0.4\n", "time": 1644578402 }, "_maintainer": { "name": "Chris Fraley", "email": "fraley@u.washington.edu" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.1.0", "role": "Depends" }, { "package": "FNN", "role": "Depends" }, { "package": "FactoMineR", "role": "Depends" }, { "package": "mclust", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 1, "_updates": [], "_tags": [], "_stars": 3, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 403, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/HDoutliers" }, "_mentions": 1, "_searchresults": 19, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/HDoutliers.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.2", "date": "2016-06-23" }, { "version": "0.5", "date": "2016-07-18" }, { "version": "0.8", "date": "2016-09-09" }, { "version": "0.9", "date": "2016-11-01" }, { "version": "0.12", "date": "2016-11-17" }, { "version": "0.14", "date": "2016-11-28" }, { "version": "0.15", "date": "2016-12-24" }, { "version": "1.0", "date": "2018-02-11" }, { "version": "1.0.1", "date": "2020-04-01" }, { "version": "1.0.2", "date": "2020-07-10" }, { "version": "1.0.3", "date": "2020-09-29" }, { "version": "1.0.4", "date": "2022-02-11" } ], "_exports": [ "dataTrans", "getHDmembers", "getHDoutliers", "HDoutliers", "plotHDoutliers" ], "_datasets": [ { "name": "dots", "title": "One dimensional dots dataset - outlier detection example", "object": "dots", "file": "dots.rda", "class": [ "data.frame" ], "fields": [ "Z", "W" ], "rows": 50, "table": true, "tojson": true }, { "name": "ex2D", "title": "Two dimensional dataset - outlier detection example", "object": "ex2D", "file": "ex2D.rda", "class": [ "matrix", "array" ], "fields": {}, "rows": 510, "table": true, "tojson": true } ], "_help": [ { "page": "dataTrans", "title": "Data Transformation for Leland Wilkinson's _hdoutliers_ Algorithm", "topics": [ "dataTrans" ] }, { "page": "dots", "title": "One dimensional dots dataset - outlier detection example", "topics": [ "dots" ] }, { "page": "ex2D", "title": "Two dimensional dataset - outlier detection example", "topics": [ "ex2D" ] }, { "page": "getHDmembers", "title": "Partitioning Stage of the _hdoutliers_ Algorithm", "topics": [ "getHDmembers" ] }, { "page": "getHDoutliers", "title": "Outlier Detection Stage of Wilkinson's _hdoutliers_ Algorithm", "topics": [ "getHDoutliers" ] }, { "page": "HDoutliers", "title": "Leland Wilkinson's _hdoutliers_ Algorithm for Outlier Detection", "topics": [ "HDoutliers" ] }, { "page": "plotHDoutliers", "title": "Display Outlier Detection Results", "topics": [ "plotHDoutliers" ] } ], "_rundeps": [ "abind", "backports", "base64enc", "boot", "broom", "bslib", "cachem", "car", "carData", "cli", "cluster", "colorspace", "cowplot", "cpp11", "crosstalk", "Deriv", "digest", "doBy", "dplyr", "DT", "ellipse", "emmeans", "estimability", "evaluate", "FactoMineR", "farver", "fastmap", "flashClust", "FNN", "fontawesome", "forecast", "Formula", "fracdiff", "fs", "generics", "ggplot2", "ggrepel", "glue", "gtable", "highr", "htmltools", "htmlwidgets", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "later", "lattice", "lazyeval", "leaps", "lifecycle", "lme4", "lmtest", "magrittr", "MASS", "Matrix", "MatrixModels", "mclust", "memoise", "mgcv", "microbenchmark", "mime", "minqa", "modelr", "multcompView", "mvtnorm", "nlme", "nloptr", "nnet", "numDeriv", "otel", "pbkrtest", "pillar", "pkgconfig", "promises", "purrr", "quantreg", "R6", "rappdirs", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "reformulas", "rlang", "rmarkdown", "S7", "sass", "scales", "scatterplot3d", "SparseM", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "timeDate", "tinytex", "urca", "utf8", "vctrs", "viridisLite", "withr", "xfun", "yaml", "zoo" ], "_score": 2.2329961103921536, "_indexed": true, "_nocasepkg": "hdoutliers", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-05-23T06:58:45.000Z", "distro": "noble", "commit": "088fc14ca242cebfa766c1da4ea6ea8d67931271", "fileid": "b2f6ef890ef9424be28f5b1c221e51374da43db59a8d479619e5bacc211c402e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26326241653" }, { "r": "4.6.0", "os": "linux", "version": "1.0.4", "date": "2026-05-23T06:58:45.000Z", "distro": "noble", "commit": "088fc14ca242cebfa766c1da4ea6ea8d67931271", "fileid": "55bcd37d529d776873f1dd0e2ea8b2aa1739fb9fc24e307e5a34fc7dc487fa7a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26326241653" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.4", "date": "2026-05-23T06:58:56.000Z", "commit": "088fc14ca242cebfa766c1da4ea6ea8d67931271", "fileid": "fc5d167621d289c3d1d82b74f8fb5eba76e848d633bb395fc40d5872f231078b", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26326241653" } ] }