{
  "_id": "6a3192a53efcd9bda43687a5",
  "Package": "circularEV",
  "Type": "Package",
  "Title": "Extreme Value Analysis for Circular Data",
  "Version": "0.1.2",
  "Date": "2026-06-16",
  "Authors@R": "person(given = \"Evandro\", family = \"Konzen\", role = c(\"aut\", \"cre\"), email = \"circularev.r@gmail.com\")",
  "Description": "General functions for performing extreme value analysis on\na circular domain as part of the statistical methodology in the\npaper by Konzen, E., Neves, C., and Jonathan, P. (2021).\nModeling nonstationary extremes of storm severity: Comparing\nparametric and semiparametric inference. Environmetrics, 32(4),\ne2667 <doi:10.1002/env.2667>.",
  "Acknowledgements": "This work was supported by the EPSRC UKRI Innovation\nFellowship (grant number EP/S001263/1)",
  "License": "GPL-3 | file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Config/roxygen2/version": "8.0.0",
  "Config/Words": "Environmetrics Konzen Neves nonstationary",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-16 18:11:33 UTC",
    "User": "root"
  },
  "Author": "Evandro Konzen [aut, cre]",
  "Maintainer": "Evandro Konzen <circularev.r@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-16 17:26:34 UTC",
  "RemoteUrl": "https://github.com/cran/circularEV",
  "RemoteRef": "HEAD",
  "RemoteSha": "d64e2c7ba4fe10eb5195a2681b5291243f0186b5",
  "MD5sum": "1fabbe514d8b118d2a614921aeb0174b",
  "_user": "cran",
  "_type": "src",
  "_file": "circularEV_0.1.2.tar.gz",
  "_fileid": "45c1ffc208a15fd87b24c07c40d96ca88692a412b0e522c5db26c99dad24db1c",
  "_filesize": 944605,
  "_sha256": "45c1ffc208a15fd87b24c07c40d96ca88692a412b0e522c5db26c99dad24db1c",
  "_created": "2026-06-16T18:11:33.000Z",
  "_published": "2026-06-16T18:15:01.516Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 81731138101,
      "time": 155,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7675726548"
    },
    {
      "job": 81731138126,
      "time": 158,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7675725321"
    },
    {
      "job": 81730273371,
      "time": 265,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7675662324"
    },
    {
      "job": 81731138066,
      "time": 165,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7675727294"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/27637971744",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/circularEV",
  "_commit": {
    "id": "d64e2c7ba4fe10eb5195a2681b5291243f0186b5",
    "author": "Evandro Konzen <circularev.r@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.2\n",
    "time": 1781630794
  },
  "_maintainer": {
    "name": "Evandro Konzen",
    "email": "circularev.r@gmail.com"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "mgcv",
      "role": "Imports"
    },
    {
      "package": "circular",
      "role": "Imports"
    },
    {
      "package": "NPCirc",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "plotly",
      "role": "Suggests"
    },
    {
      "package": "formatR",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-25",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "0.1.2",
      "date": "2026-06-16"
    }
  ],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 609,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 86,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/circularEV"
  },
  "_searchresults": 10,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/circularEV.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "LICENSE",
    "manual.pdf"
  ],
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2021-01-21"
    },
    {
      "version": "0.1.1",
      "date": "2022-05-13"
    },
    {
      "version": "0.1.2",
      "date": "2026-06-16"
    }
  ],
  "_exports": [
    "CalcRLsplineML",
    "LocalEstim",
    "PlotData",
    "PlotParamEstim",
    "PlotRL",
    "PolarPlotData",
    "PolarPlotRL",
    "SplineML",
    "ThrSelection"
  ],
  "_datasets": [
    {
      "name": "drc",
      "title": "Directional covariate for HsSP data",
      "object": "drc",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "HsSP",
      "title": "Hindcast storm peak significant wave height data",
      "object": "HsSP",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "thresholdExampleML",
      "title": "Threshold for spline ML and local ML examples",
      "object": "thresholdExampleML",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "thresholdExampleMom",
      "title": "Threshold for local Moment examples",
      "object": "thresholdExampleMom",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "CalcRLsplineML",
      "title": "Calculate T-year levels for spline ML model",
      "topics": [
        "CalcRLsplineML"
      ]
    },
    {
      "page": "drc",
      "title": "Directional covariate for HsSP data",
      "topics": [
        "drc"
      ]
    },
    {
      "page": "HsSP",
      "title": "Hindcast storm peak significant wave height data",
      "topics": [
        "HsSP"
      ]
    },
    {
      "page": "LocalEstim",
      "title": "Local bootstrap estimation of EVI, scale and T-year levels",
      "topics": [
        "LocalEstim"
      ]
    },
    {
      "page": "PlotData",
      "title": "Plot of circular data",
      "topics": [
        "PlotData"
      ]
    },
    {
      "page": "PlotParamEstim",
      "title": "Plot of parameter estimates with bootstrap confidence intervals",
      "topics": [
        "PlotParamEstim"
      ]
    },
    {
      "page": "PlotRL",
      "title": "Plot of T-year levels",
      "topics": [
        "PlotRL"
      ]
    },
    {
      "page": "PolarPlotData",
      "title": "Polar plot of circular data",
      "topics": [
        "PolarPlotData"
      ]
    },
    {
      "page": "PolarPlotRL",
      "title": "Polar plot of T-year levels",
      "topics": [
        "PolarPlotRL"
      ]
    },
    {
      "page": "SplineML",
      "title": "Spline ML fitting",
      "topics": [
        "SplineML"
      ]
    },
    {
      "page": "thresholdExampleML",
      "title": "Threshold for spline ML and local ML examples",
      "topics": [
        "thresholdExampleML"
      ]
    },
    {
      "page": "thresholdExampleMom",
      "title": "Threshold for local Moment examples",
      "topics": [
        "thresholdExampleMom"
      ]
    },
    {
      "page": "ThrSelection",
      "title": "Threshold selection",
      "topics": [
        "ThrSelection"
      ]
    }
  ],
  "_rundeps": [
    "base64enc",
    "Bolstad2",
    "boot",
    "bslib",
    "cachem",
    "circular",
    "cli",
    "clue",
    "cluster",
    "codetools",
    "cpp11",
    "digest",
    "doParallel",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "foreach",
    "fs",
    "ggplot2",
    "glue",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "isoband",
    "iterators",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "memoise",
    "mgcv",
    "mime",
    "misc3d",
    "movMF",
    "mvtnorm",
    "nlme",
    "NPCirc",
    "plotrix",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "rgl",
    "rlang",
    "rmarkdown",
    "S7",
    "sass",
    "scales",
    "shape",
    "skmeans",
    "slam",
    "tinytex",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "localMethods.Rmd",
      "filename": "localMethods.html",
      "title": "Local methods example",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Reading Data",
        "Threshold selection",
        "Estimation of EVI, scale and T-year levels"
      ],
      "created": "2021-01-21 10:10:02",
      "modified": "2026-06-16 17:26:34",
      "commits": 2
    },
    {
      "source": "splineML.Rmd",
      "filename": "splineML.html",
      "title": "Spline ML example",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Reading Data",
        "Threshold selection",
        "Estimation of spline ML model",
        "High Quantiles"
      ],
      "created": "2021-01-21 10:10:02",
      "modified": "2026-06-16 17:26:34",
      "commits": 2
    }
  ],
  "_score": 2.3010299956639813,
  "_indexed": true,
  "_nocasepkg": "circularev",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.2",
      "date": "2026-06-16T18:14:01.000Z",
      "distro": "noble",
      "commit": "d64e2c7ba4fe10eb5195a2681b5291243f0186b5",
      "fileid": "c8f5614bb2b9e1a095440691f7787e2296dda35038ad464851369cd03cfbe14f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27637971744"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.2",
      "date": "2026-06-16T18:13:56.000Z",
      "distro": "noble",
      "commit": "d64e2c7ba4fe10eb5195a2681b5291243f0186b5",
      "fileid": "8a8891cb7f66f3f46e11c167237079b20ea06ac24189e9132663511ef260c141",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27637971744"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.2",
      "date": "2026-06-16T18:14:39.000Z",
      "commit": "d64e2c7ba4fe10eb5195a2681b5291243f0186b5",
      "fileid": "2f43fb7b1cd554209bc40dfd9095d6063e91ce198a8ce0d3c0519244f8e79595",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27637971744"
    }
  ]
}