{ "_id": "6a1558c2acfb0bcc41d5ec97", "Package": "envoutliers", "Type": "Package", "Title": "Methods for Identification of Outliers in Environmental Data", "Version": "1.1.0", "Authors@R": "c(\nperson(\"Martina\", \"Campulova\", email = \"martina.campulova@mendelu.cz\", role = c(\"cre\")),\nperson(\"Martina\", \"Campulova\", email = \"martina.campulova@mendelu.cz\", role = c(\"aut\")),\nperson(\"Roman\", \"Campula\", email = \"roman.campula@cdv.cz\", role = c(\"ctb\")))", "Description": "Three semi-parametric methods for detection of outliers in\nenvironmental data based on kernel regression and subsequent\nanalysis of smoothing residuals. The first method (Campulova,\nMichalek, Mikuska and Bokal (2018) )\nanalyzes the residuals using changepoint analysis, the second\nmethod is based on control charts (Campulova, Veselik and\nMichalek (2017) ) and the third\nmethod (Holesovsky, Campulova and Michalek (2018) ) analyzes the residuals using\nextreme value theory (Holesovsky, Campulova and Michalek (2018)\n).", "License": "GPL-2", "Encoding": "UTF-8", "RoxygenNote": "6.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 08:21:28 UTC", "User": "root" }, "Author": "Martina Campulova [cre], Martina Campulova [aut], Roman Campula\n[ctb]", "Maintainer": "Martina Campulova ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2020-05-07 14:20:02 UTC", "RemoteUrl": "https://github.com/cran/envoutliers", "RemoteRef": "HEAD", "RemoteSha": "033fb75502a42d2bee5ff0cdd49abb6ff66463e5", "MD5sum": "898d9d5baab155be9eb010317689a8cc", "_user": "cran", "_type": "src", "_file": "envoutliers_1.1.0.tar.gz", "_fileid": "c38d8457cfe47dd91a989dcfb5fe2d62e08ab16eb2227eb1318098040299350d", "_filesize": 274559, "_sha256": "c38d8457cfe47dd91a989dcfb5fe2d62e08ab16eb2227eb1318098040299350d", "_created": "2026-05-26T08:21:28.000Z", "_published": "2026-05-26T08:24:34.069Z", "_distro": "noble", "_jobs": [ { "job": 77835015247, "time": 147, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7212229052" }, { "job": 77835015193, "time": 150, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7212230211" }, { "job": 77834554289, "time": 179, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7212182792" }, { "job": 77835015375, "time": 121, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7212220901" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26440805893", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/envoutliers", "_commit": { "id": "033fb75502a42d2bee5ff0cdd49abb6ff66463e5", "author": "Martina Campulova ", "committer": "cran-robot ", "message": "version 1.1.0\n", "time": 1588861202 }, "_maintainer": { "name": "Martina Campulova", "email": "martina.campulova@mendelu.cz" }, "_registered": true, "_dependencies": [ { "package": "MASS", "role": "Imports" }, { "package": "car", "role": "Imports" }, { "package": "changepoint", "role": "Imports" }, { "package": "ecp", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "ismev", "role": "Imports" }, { "package": "lokern", "role": "Imports" }, { "package": "robustbase", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "openair", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 230, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/envoutliers" }, "_searchresults": 4, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/envoutliers.html", "extra/NEWS.html", "extra/NEWS.txt", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2019-11-05" }, { "version": "1.1.0", "date": "2020-05-07" } ], "_exports": [ "KRDetect.outliers.changepoint", "KRDetect.outliers.controlchart", "KRDetect.outliers.EV", "KRDetect.outliers.plot", "MRL.plot", "smoothing", "stability.plot" ], "_help": [ { "page": "boxcoxTransform", "title": "Box-Cox transformation of data - 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