{
  "_id": "6a23de61530b9bc726be718c",
  "Package": "nicheROVER",
  "Title": "Niche Region and Niche Overlap Metrics for Multidimensional\nEcological Niches",
  "Version": "1.1.2",
  "Date": "2023-10-12",
  "Authors@R": "c(person(\"Martin\", \"Lysy\", role = c(\"aut\", \"cre\"),\nemail = \"mlysy@uwaterloo.ca\"),\nperson(\"Ashley D.\", \"Stasko\", role = \"aut\"),\nperson(\"Heidi K.\", \"Swanson\", role = \"aut\"))",
  "Description": "Implementation of a probabilistic method to calculate\n'nicheROVER' (_niche_ _r_egion and niche _over_lap) metrics\nusing multidimensional niche indicator data (e.g., stable\nisotopes, environmental variables, etc.). The niche region is\ndefined as the joint probability density function of the\nmultidimensional niche indicators at a user-defined probability\nalpha (e.g., 95%).  Uncertainty is accounted for in a Bayesian\nframework, and the method can be extended to three or more\nindicator dimensions.  It provides directional estimates of\nniche overlap, accounts for species-specific distributions in\nmultivariate niche space, and produces unique and consistent\nbivariate projections of the multivariate niche region.  The\narticle by Swanson et al. (2015) <doi:10.1890/14-0235.1>\nprovides a detailed description of the methodology.  See the\npackage vignette for a worked example using fish stable isotope\ndata.",
  "URL": "https://github.com/mlysy/nicheROVER",
  "BugReports": "https://github.com/mlysy/nicheROVER/issues",
  "VignetteBuilder": "knitr",
  "License": "GPL-3",
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  "Repository": "https://mlysy.r-universe.dev",
  "Date/Publication": "2023-10-13 15:50:55 UTC",
  "RemoteUrl": "https://github.com/mlysy/nicherover",
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  "NeedsCompilation": "no",
  "Packaged": {
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  "Author": "Martin Lysy [aut, cre],\nAshley D. Stasko [aut],\nHeidi K. Swanson [aut]",
  "Maintainer": "Martin Lysy <mlysy@uwaterloo.ca>",
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  "_published": "2026-06-06T08:46:25.957Z",
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    "extra/NEWS.txt",
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    "ellipse",
    "niche.par.plot",
    "niche.plot",
    "niche.runif",
    "niche.size",
    "niiw.post",
    "niw.coeffs",
    "niw.mom",
    "niw.post",
    "overlap",
    "overlap.plot",
    "overlap.sphere",
    "overlap.unif",
    "rniw",
    "rwish"
  ],
  "_datasets": [
    {
      "name": "fish",
      "title": "Fish stable isotope dataset.",
      "object": "fish",
      "class": [
        "data.frame"
      ],
      "fields": [
        "species",
        "D15N",
        "D13C",
        "D34S"
      ],
      "rows": 277,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "nicheROVER-package",
      "title": "(Niche) (R)egion and Niche (Over)lap Metrics for Multidimensional Ecological Niches.",
      "topics": [
        "nicheROVER-package",
        "nicheROVER"
      ]
    },
    {
      "page": "ellipse",
      "title": "Point coordinates for a 2-D ellipse.",
      "topics": [
        "ellipse"
      ]
    },
    {
      "page": "fish",
      "title": "Fish stable isotope dataset.",
      "topics": [
        "fish"
      ]
    },
    {
      "page": "niche.par.plot",
      "title": "Plot for niche parameters.",
      "topics": [
        "niche.par.plot"
      ]
    },
    {
      "page": "niche.plot",
      "title": "Plot for 2-d projection of niche regions.",
      "topics": [
        "niche.plot"
      ]
    },
    {
      "page": "niche.runif",
      "title": "Uniform sampling from an elliptical niche region.",
      "topics": [
        "niche.runif"
      ]
    },
    {
      "page": "niche.size",
      "title": "Calculate the size of an elliptical niche region.",
      "topics": [
        "niche.size"
      ]
    },
    {
      "page": "niiw.post",
      "title": "Random draws from the posterior distribution with Normal-Independent-Inverse-Wishart (NIIW) prior.",
      "topics": [
        "niiw.post"
      ]
    },
    {
      "page": "niw.coeffs",
      "title": "Posterior coefficients of the Normal-Inverse-Wishart distribution with its conjugate prior.",
      "topics": [
        "niw.coeffs"
      ]
    },
    {
      "page": "niw.mom",
      "title": "Mean and variance of the Normal-Inverse-Wishart distribution.",
      "topics": [
        "niw.mom"
      ]
    },
    {
      "page": "niw.post",
      "title": "Random draws from the posterior distribution with Normal-Inverse-Wishart (NIW) prior.",
      "topics": [
        "niw.post"
      ]
    },
    {
      "page": "overlap",
      "title": "Monte Carlo calculation of niche region overlap metrics.",
      "topics": [
        "overlap"
      ]
    },
    {
      "page": "overlap.plot",
      "title": "Plot the overlap metric.",
      "topics": [
        "overlap.plot"
      ]
    },
    {
      "page": "overlap.unif",
      "title": "Overlap calculation for uniform niche regions.",
      "topics": [
        "overlap.sphere",
        "overlap.unif"
      ]
    },
    {
      "page": "rniw",
      "title": "Random draws from a Normal-Inverse-Wishart distribution.",
      "topics": [
        "rniw"
      ]
    },
    {
      "page": "rwish",
      "title": "Random draws from a Wishart (or Inverse-Wishart) distribution.",
      "topics": [
        "rwish"
      ]
    }
  ],
  "_readme": "https://github.com/mlysy/nicherover/raw/HEAD/README.md",
  "_rundeps": [],
  "_vignettes": [
    {
      "source": "ecol-vignette.Rmd",
      "filename": "ecol-vignette.html",
      "title": "An Ecologist's Guide to nicheROVER: Niche Region and Niche Overlap Metrics for Multidimensional Ecological Niches",
      "author": "Martin Lysy, Heidi Swanson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Preliminaries",
        "2. Formatting data for use in nicheROVER",
        "3. Generate the posterior distributions of $\\mu$ (mean) and $\\Sigma$ (variance) for isotope values for each species with the default prior",
        "4. Create 2-d projections of a subset of niche regions",
        "5. Calculate and display niche overlap estimates",
        "6.  Calculate and display niche size estimates"
      ],
      "created": "2017-12-05 04:15:43",
      "modified": "2021-05-13 19:58:46",
      "commits": 4
    }
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  "_nocasepkg": "nicherover",
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