{
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  "Title": "Behavioral Change Point Analysis of Animal Movement",
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  "Date": "2022-05-24",
  "Author": "Eliezer Gurarie <egurarie@esf.edu>",
  "Maintainer": "Eliezer Gurarie <egurarie@esf.edu>",
  "Description": "The Behavioral Change Point Analysis (BCPA) is a method of\nidentifying hidden shifts in the underlying parameters of a\ntime series, developed specifically to be applied to animal\nmovement data which is irregularly sampled.  The method is\nbased on: E. Gurarie, R. Andrews and K. Laidre A novel method\nfor identifying behavioural changes in animal movement data\n(2009) Ecology Letters 12:5 395-408. A development version is\non <https://github.com/EliGurarie/bcpa>. NOTE: the BCPA method\nmay be useful for any univariate, irregularly sampled Gaussian\ntime-series, but animal movement analysts are encouraged to\napply correlated velocity change point analysis as implemented\nin the smoove package, as of this writing on GitHub at\n<https://github.com/EliGurarie/smoove>. An example of a\nunivariate analysis is provided in the UnivariateBCPA vignette.",
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    "GetL",
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        "Y"
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      "title": "Behavioral Change Point Analysis",
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        "bcpa",
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      "title": "Obtain summary of BCPA analysis",
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