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  "Date": "2022-05-05",
  "Title": "Testing Steepness of Dominance Hierarchies",
  "Author": "David Leiva <dleivaur@ub.edu> & Han de Vries\n<J.deVries1@uu.nl>.",
  "Maintainer": "David Leiva <dleivaur@ub.edu>",
  "Description": "The steepness package computes steepness as a property of\ndominance hierarchies. Steepness is defined as the absolute\nslope of the straight line fitted to the normalized David's\nscores. The normalized David's scores can be obtained on the\nbasis of dyadic dominance indices corrected for chance or by\nmeans of proportions of wins. Given an observed sociomatrix, it\ncomputes hierarchy's steepness and estimates statistical\nsignificance by means of a randomization test.",
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    "getDS",
    "getNormDS",
    "getOrderedMatrix",
    "getPij",
    "getStp",
    "getwl",
    "steeptest"
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    {
      "page": "steepness-package",
      "title": "Testing Steepness of Dominance Hierarchies",
      "topics": [
        "steepness"
      ]
    },
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      "page": "getDij",
      "title": "Dyadic dominance index corrected for chance -Dij-",
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      "title": "David's scores -DS-",
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      "title": "Normalized David's scores -NormDS-",
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      "page": "getOrderedMatrix",
      "title": "Ordered matrix according to NormDS values",
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      ]
    },
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      "page": "getPij",
      "title": "Matrix of win proportions -Pij-",
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      "title": "Steepness measure of dominance hierarchies -Stp-",
      "topics": [
        "getStp"
      ]
    },
    {
      "page": "getwl",
      "title": "Win-loss measures at individual level",
      "topics": [
        "getwl"
      ]
    },
    {
      "page": "steeptest",
      "title": "Statistical significance for steepness of dominance hierarchies statistic",
      "topics": [
        "steeptest"
      ]
    }
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