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  "Package": "bsam",
  "Type": "Package",
  "Title": "Bayesian State-Space Models for Animal Movement",
  "Version": "1.1.3",
  "Date": "2020-08-31",
  "Authors@R": "c(\nperson(\"Ian\", \"Jonsen\", email = \"jonsen@stochastic-qc.org\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Sophie\", \"Bestley\", email = \"sophie.bestley@utas.edu.au\",\nrole = \"ctb\"),\nperson(\"Simon\", \"Wotherspoon\",  email = \"simon.wotherspoon@aad.gov.au\",\nrole = \"ctb\"),\nperson(\"Michael\", \"Sumner\", email = \"mdsumner@gmail.com\", role = \"ctb\"),\nperson(\"Joanna\", \"Mills Flemming\", email = \"joanna.flemming@dal.ca\",\nrole = \"ctb\")\n)",
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  "Description": "Tools to fit Bayesian state-space models to animal\ntracking data. Models are provided for location filtering,\nlocation filtering and behavioural state estimation, and their\nhierarchical versions. The models are primarily intended for\nfitting to ARGOS satellite tracking data but options exist to\nfit to other tracking data types. For Global Positioning System\ndata, consider the 'moveHMM' package. Simplified Markov Chain\nMonte Carlo convergence diagnostic plotting is provided but\nusers are encouraged to explore tools available in packages\nsuch as 'coda' and 'boa'.",
  "License": "GPL-2",
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  "Date/Publication": "2024-07-03 23:57:35 UTC",
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        "bsam"
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      "title": "Correlated Random Walk Filter",
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        "plotSSM"
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