{
  "_id": "6a2154a3cd65a98ecbd2dfc6",
  "Package": "sazedR",
  "Type": "Package",
  "Title": "Parameter-Free Domain-Agnostic Season Length Detection in Time\nSeries",
  "Version": "2.0.2",
  "Authors@R": "c(\nperson(\"Maximilian\", \"Toller\", , \"maximilian.toller@student.tugraz.at\", c(\"aut\")),\nperson(\"Tiago\", \"Santos\", , \"teixeiradossantos@tugraz.at\", c(\"aut\", \"cre\")),\nperson(\"Roman\", \"Kern\", , \"rkern@know-center.at\", c(\"aut\"))\n)",
  "Description": "Spectral and Average Autocorrelation Zero Distance Density\n('sazed') is a method for estimating the season length of a\nseasonal time series. 'sazed' is aimed at practitioners, as it\nemploys only domain-agnostic preprocessing and does not depend\non parameter tuning or empirical constants. The computation of\n'sazed' relies on the efficient autocorrelation computation\nmethods suggested by Thibauld Nion (2012, URL:\n<https://etudes.tibonihoo.net/literate_musing/autocorrelations.html>)\nand by Bob Carpenter (2012, URL:\n<https://lingpipe-blog.com/2012/06/08/autocorrelation-fft-kiss-eigen/>).",
  "License": "GPL-2",
  "URL": "https://github.com/mtoller/autocorr_season_length_detection/",
  "Encoding": "UTF-8",
  "RoxygenNote": "6.1.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 10:31:38 UTC",
    "User": "root"
  },
  "Author": "Maximilian Toller [aut], Tiago Santos [aut, cre], Roman Kern\n[aut]",
  "Maintainer": "Tiago Santos <teixeiradossantos@tugraz.at>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2020-09-29 17:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/sazedR",
  "RemoteRef": "HEAD",
  "RemoteSha": "6d710ca3fd25b6ee7582c4990dc5274562be07af",
  "MD5sum": "ab1ae7fa411786f63b220eb76ef859c0",
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  "_type": "src",
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  "_published": "2026-06-04T10:34:11.211Z",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26946186329",
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  "_commit": {
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    "author": "Tiago Santos <teixeiradossantos@tugraz.at>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 2.0.2\n",
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  "_maintainer": {
    "name": "Tiago Santos",
    "email": "teixeiradossantos@tugraz.at"
  },
  "_registered": true,
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/sazedR"
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  "_devurl": "https://github.com/mtoller/autocorr_season_length_detection",
  "_searchresults": 10,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/sazedR.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0.0",
      "date": "2018-09-30"
    },
    {
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      "date": "2019-04-26"
    },
    {
      "version": "2.0.1",
      "date": "2019-09-16"
    },
    {
      "version": "2.0.2",
      "date": "2020-09-29"
    }
  ],
  "_exports": [
    "aze",
    "azed",
    "computeAcf",
    "preprocessTs",
    "S",
    "Sa",
    "sazed",
    "sazed.maj",
    "ze",
    "zed"
  ],
  "_help": [
    {
      "page": "aze",
      "title": "Compute the AZE component of the SAZED ensemble",
      "topics": [
        "aze"
      ]
    },
    {
      "page": "azed",
      "title": "Compute the AZED component of the SAZED ensemble",
      "topics": [
        "azed"
      ]
    },
    {
      "page": "computeAcf",
      "title": "Compute and shorten autocorrelation",
      "topics": [
        "computeAcf"
      ]
    },
    {
      "page": "downsample",
      "title": "Downsample Time Series",
      "topics": [
        "downsample"
      ]
    },
    {
      "page": "preprocessTs",
      "title": "Preprocess Time Series for SAZED ensemble",
      "topics": [
        "preprocessTs"
      ]
    },
    {
      "page": "S",
      "title": "Compute the S component of the SAZED ensemble",
      "topics": [
        "S"
      ]
    },
    {
      "page": "Sa",
      "title": "Compute the SA component of the SAZED ensemble",
      "topics": [
        "Sa"
      ]
    },
    {
      "page": "sazed",
      "title": "SAZED Ensemble (Optimum)",
      "topics": [
        "sazed"
      ]
    },
    {
      "page": "sazed.maj",
      "title": "SAZED Ensemble (Majority)",
      "topics": [
        "sazed.maj"
      ]
    },
    {
      "page": "sazedR",
      "title": "sazedR: A package for for estimating the season length of a seasonal time series.",
      "topics": [
        "sazedR-package",
        "sazedR"
      ]
    },
    {
      "page": "ze",
      "title": "Compute the ZE component of the SAZED ensemble",
      "topics": [
        "ze"
      ]
    },
    {
      "page": "zed",
      "title": "Compute the ZED component of the SAZED ensemble",
      "topics": [
        "zed"
      ]
    }
  ],
  "_readme": "https://github.com/cran/sazedR/raw/HEAD/README.md",
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    "cli",
    "dplyr",
    "fftwtools",
    "generics",
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    "lattice",
    "lifecycle",
    "magrittr",
    "pillar",
    "pkgconfig",
    "pracma",
    "R6",
    "rlang",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "withr",
    "zoo"
  ],
  "_score": 1.6989700043360187,
  "_indexed": true,
  "_nocasepkg": "sazedr",
  "_universes": [
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    "mtoller"
  ],
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