{ "_id": "6a1d31f31d7bb097a0a3b55e", "Package": "bfast", "Version": "1.7.2", "Title": "Breaks for Additive Season and Trend", "Authors@R": "c(person(given = \"Jan\", family = \"Verbesselt\", role = c(\"aut\"), email = \"Jan.Verbesselt@wur.nl\"),\nperson(given = \"Dainius\", family = \"Masili\\u016Bnas\", role = c(\"aut\", \"cre\"),\nemail = \"pastas4@gmail.com\", comment = c(ORCID = \"0000-0001-5654-1277\")),\nperson(given = \"Achim\", family = \"Zeileis\", role = \"aut\", email = \"Achim.Zeileis@R-project.org\"),\nperson(given = \"Rob\", family = \"Hyndman\", role = \"ctb\", email = \"Rob.Hyndman@buseco.monash.edu.au\"),\nperson(given = \"Marius\", family = \"Appel\", role = \"aut\", email = \"marius.appel@uni-muenster.de\"),\nperson(given = \"Martin\", family = \"Jung\", role = \"ctb\", email = \"m.jung@sussex.ac.uk\"),\nperson(given = \"Andrei\", family = \"M\\u00EEr\\u021B\", role = \"ctb\", email = \"andrei.mirt@wur.nl\",\ncomment = c(ORCID = \"0000-0003-3654-2090\")),\nperson(given = c(\"Paulo\", \"Negri\"), family = \"Bernardino\", role = \"ctb\",\nemail = \"paulo.negribernardino@wur.nl\"),\nperson(given = \"Dongdong\", family = \"Kong\", role = \"ctb\", email = \"kongdd@mail2.sysu.edu.cn\",\ncomment = c(ORCID = \"0000-0003-1836-8172\"))\n)", "Description": "Decomposition of time series into trend, seasonal, and\nremainder components with methods for detecting and\ncharacterizing abrupt changes within the trend and seasonal\ncomponents. 'BFAST' can be used to analyze different types of\nsatellite image time series and can be applied to other\ndisciplines dealing with seasonal or non-seasonal time series,\nsuch as hydrology, climatology, and econometrics. The algorithm\ncan be extended to label detected changes with information on\nthe parameters of the fitted piecewise linear models. 'BFAST'\nmonitoring functionality is described in Verbesselt et al.\n(2010) . 'BFAST monitor'\nprovides functionality to detect disturbance in near real-time\nbased on 'BFAST'- type models, and is described in Verbesselt\net al. (2012) . 'BFAST Lite'\napproach is a flexible approach that handles missing data\nwithout interpolation, and will be described in an upcoming\npaper. Furthermore, different models can now be used to fit the\ntime series data and detect structural changes (breaks).", "License": "GPL (>= 2)", "URL": "https://bfast2.github.io/", "BugReports": "https://github.com/bfast2/bfast/issues", "LazyLoad": "yes", "LazyData": "yes", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "RdMacros": "Rdpack", "Encoding": "UTF-8", "Repository": "https://bfast2.r-universe.dev", "Date/Publication": "2026-03-31 13:44:29 UTC", "RemoteUrl": "https://github.com/bfast2/bfast", "RemoteRef": "HEAD", "RemoteSha": "8dad57ca7093f8b18a6e131ea4b999cbd59ccc0a", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-01 06:55:50 UTC", "User": "root" }, "Author": "Jan Verbesselt [aut],\nDainius Masiliūnas [aut, cre] (ORCID:\n),\nAchim Zeileis [aut],\nRob Hyndman [ctb],\nMarius Appel [aut],\nMartin Jung [ctb],\nAndrei Mîrț [ctb] (ORCID: ),\nPaulo Negri Bernardino [ctb],\nDongdong Kong [ctb] (ORCID: )", "Maintainer": "Dainius Masiliūnas ", "MD5sum": 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