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    "estimate_bandwidth",
    "expectation_ball",
    "expectation_box",
    "expectation_convex",
    "expectation_maximal",
    "find_optimal_occupancy_thin",
    "get_centroid",
    "get_centroid_weighted",
    "get_occupancy_intersection_bootstrap",
    "get_occupancy_stats",
    "get_occupancy_stats_bootstrap",
    "get_occupancy_unshared_bootstrap",
    "get_occupancy_volume_bootstrap",
    "get_relative_volume",
    "get_volume",
    "hypervolume",
    "hypervolume_box",
    "hypervolume_distance",
    "hypervolume_distance_point",
    "hypervolume_estimate_probability",
    "hypervolume_funnel",
    "hypervolume_gaussian",
    "hypervolume_general_model",
    "hypervolume_holes",
    "hypervolume_inclusion_test",
    "hypervolume_join",
    "hypervolume_n_occupancy",
    "hypervolume_n_occupancy_bootstrap",
    "hypervolume_n_occupancy_permute",
    "hypervolume_n_occupancy_test",
    "hypervolume_n_resample",
    "hypervolume_overlap_confidence",
    "hypervolume_overlap_statistics",
    "hypervolume_overlap_test",
    "hypervolume_permute",
    "hypervolume_project",
    "hypervolume_prune",
    "hypervolume_redundancy",
    "hypervolume_resample",
    "hypervolume_save_animated_gif",
    "hypervolume_segment",
    "hypervolume_set",
    "hypervolume_set_n_intersection",
    "hypervolume_set_n_union",
    "hypervolume_svm",
    "hypervolume_thin",
    "hypervolume_threshold",
    "hypervolume_to_data_frame",
    "hypervolume_variable_importance",
    "occupancy_bootstrap_gof",
    "occupancy_filter",
    "occupancy_to_intersection",
    "occupancy_to_union",
    "occupancy_to_unshared",
    "padded_range",
    "plot.Hypervolume",
    "plot.HypervolumeList",
    "print.Hypervolume",
    "print.HypervolumeList",
    "show.Hypervolume",
    "show.HypervolumeList",
    "summary.Hypervolume",
    "summary.HypervolumeList",
    "to_hv_list",
    "weight_data"
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      "name": "acacia_pinus",
      "title": "Data for Acacia and Pinus tree distributions",
      "object": "acacia_pinus",
      "file": "acacia_pinus.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "species",
        "longitude",
        "latitude"
      ],
      "rows": 37845,
      "table": true,
      "tojson": true
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    {
      "name": "circles",
      "title": "Circles simulated dataset",
      "object": "circles",
      "file": "circles.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
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      "title": "Morphological data for Darwin's finches",
      "object": "morphSnodgrassHeller",
      "file": "morphSnodgrassHeller.txt.gz",
      "class": [
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        "IslandID",
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        "GenusL69",
        "SpeciesL69",
        "SubspL69",
        "SpeciesID",
        "SubspID",
        "Sex",
        "Plumage",
        "BodyL",
        "WingL",
        "TailL",
        "BeakW",
        "BeakH",
        "LBeakL",
        "UBeakL",
        "N.UBkL",
        "TarsusL",
        "MToeL"
      ],
      "rows": 549,
      "table": true,
      "tojson": true
    },
    {
      "name": "quercus",
      "title": "Data and demo for Quercus (oak) tree distributions",
      "object": "quercus",
      "file": "quercus.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Species",
        "Latitude",
        "Longitude"
      ],
      "rows": 3779,
      "table": true,
      "tojson": true
    }
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  "_help": [
    {
      "page": "hypervolume-package",
      "title": "High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls",
      "topics": [
        "hypervolume-package"
      ]
    },
    {
      "page": "acacia_pinus",
      "title": "Data for Acacia and Pinus tree distributions",
      "topics": [
        "acacia_pinus"
      ]
    },
    {
      "page": "circles",
      "title": "Circles simulated dataset",
      "topics": [
        "circles"
      ]
    },
    {
      "page": "copy_param_hypervolume",
      "title": "Generate hypervolumes using pre-existing parameters",
      "topics": [
        "copy_param_hypervolume"
      ]
    },
    {
      "page": "estimate_bandwidth",
      "title": "Kernel bandwidth estimators for hypervolumes",
      "topics": [
        "estimate_bandwidth"
      ]
    },
    {
      "page": "expectation_ball",
      "title": "Hypersphere expectation",
      "topics": [
        "expectation_ball"
      ]
    },
    {
      "page": "expectation_box",
      "title": "Hyperbox expectation",
      "topics": [
        "expectation_box"
      ]
    },
    {
      "page": "expectation_convex",
      "title": "Convex expectation",
      "topics": [
        "expectation_convex"
      ]
    },
    {
      "page": "expectation_maximal",
      "title": "Maximal expectation",
      "topics": [
        "expectation_maximal"
      ]
    },
    {
      "page": "find_optimal_occupancy_thin",
      "title": "Find optimal parameters to calculate occupancy",
      "topics": [
        "find_optimal_occupancy_thin"
      ]
    },
    {
      "page": "get_centroid",
      "title": "Get centroid of hypervolume or hypervolume list",
      "topics": [
        "get_centroid"
      ]
    },
    {
      "page": "get_centroid_weighted",
      "title": "Get weighted centroid of hypervolume or hypervolume list",
      "topics": [
        "get_centroid_weighted"
      ]
    },
    {
      "page": "get_occupancy_intersection_bootstrap",
      "title": "Volume of the intersection of a bootstrapped occupancy object",
      "topics": [
        "get_occupancy_intersection_bootstrap"
      ]
    },
    {
      "page": "get_occupancy_stats",
      "title": "Stats from occupancy objects",
      "topics": [
        "get_occupancy_stats",
        "get_occupancy_stats_bootstrap"
      ]
    },
    {
      "page": "get_occupancy_unshared_bootstrap",
      "title": "Volume of the unshared fraction of a bootstrapped occupancy object",
      "topics": [
        "get_occupancy_unshared_bootstrap"
      ]
    },
    {
      "page": "get_occupancy_volume_bootstrap",
      "title": "Extract the volume from occupancy bootstrap objects",
      "topics": [
        "get_occupancy_volume_bootstrap"
      ]
    },
    {
      "page": "get_relative_volume",
      "title": "Extract the relative volume",
      "topics": [
        "get_relative_volume"
      ]
    },
    {
      "page": "get_volume",
      "title": "Extract volume",
      "topics": [
        "get_volume",
        "get_volume,Hypervolume-method",
        "get_volume,HypervolumeList-method",
        "get_volume.Hypervolume",
        "get_volume.HypervolumeList"
      ]
    },
    {
      "page": "hypervolume",
      "title": "Hypervolume construction methods",
      "topics": [
        "hypervolume"
      ]
    },
    {
      "page": "hypervolume_box",
      "title": "Hypervolume construction via hyperbox kernel density estimation",
      "topics": [
        "hypervolume_box"
      ]
    },
    {
      "page": "hypervolume_distance",
      "title": "Distance between two hypervolumes",
      "topics": [
        "hypervolume_distance"
      ]
    },
    {
      "page": "hypervolume_distance_point",
      "title": "Distance from a point to the margin of a hypervolume.",
      "topics": [
        "hypervolume_distance_point"
      ]
    },
    {
      "page": "hypervolume_estimate_probability",
      "title": "Estimate probability a given location",
      "topics": [
        "hypervolume_estimate_probability"
      ]
    },
    {
      "page": "hypervolume_funnel",
      "title": "Hypervolumes at different sample sizes",
      "topics": [
        "hypervolume_funnel"
      ]
    },
    {
      "page": "hypervolume_gaussian",
      "title": "Hypervolume construction via Gaussian kernel density estimation",
      "topics": [
        "hypervolume_gaussian"
      ]
    },
    {
      "page": "hypervolume_general_model",
      "title": "Generates hypervolume by sampling from arbitrary model object.",
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