{
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  "Type": "Package",
  "Package": "ggdibbler",
  "Title": "Add Uncertainty to Data Visualisations",
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  "Authors@R": "c(\nperson(\"Harriet\", \"Mason\", , \"harriet.m.mason@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0007-4568-8215\")),\nperson(\"Dianne\", \"Cook\", , \"dicook@monash.edu\", role = c(\"aut\", \"ths\"),\ncomment = c(ORCID = \"0000-0002-3813-7155\")),\nperson(\"Sarah\", \"Goodwin\", , \"sarah.goodwin@monash.edu\", role = c(\"aut\", \"ths\"),\ncomment = c(ORCID = \"0000-0001-8894-8282\")),\nperson(\"Susan\", \"VanderPlas\", , \"susan.vanderplas@unl.edu\", role = c(\"aut\", \"ths\"),\ncomment = c(ORCID = \"0000-0002-3803-0972\"))\n)",
  "Maintainer": "Harriet Mason <harriet.m.mason@gmail.com>",
  "Description": "A 'ggplot2' extension for visualising uncertainty with the\ngoal of signal suppression. Usually, uncertainty visualisation\nfocuses on expressing uncertainty as a distribution or\nprobability, whereas 'ggdibbler' differentiates itself by\nviewing an uncertainty visualisation as an adjustment to an\nexisting graphic that incorporates the inherent uncertainty in\nthe estimates.  You provide the code for an existing plot, but\nreplace any of the variables with a vector of distributions,\nand it will convert the visualisation into it's signal\nsuppression counterpart.",
  "License": "GPL-3",
  "URL": "https://harriet-mason.github.io/ggdibbler/,\nhttps://github.com/harriet-mason/ggdibbler",
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  "Repository": "https://harriet-mason.r-universe.dev",
  "Date/Publication": "2026-05-13 14:18:31 UTC",
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    "geom_abline_sample",
    "geom_area_sample",
    "geom_bar_sample",
    "geom_bin_2d_sample",
    "geom_boxplot_sample",
    "geom_col_sample",
    "geom_contour_filled_sample",
    "geom_contour_sample",
    "geom_count_sample",
    "geom_crossbar_sample",
    "geom_curve_sample",
    "geom_density_2d_filled_sample",
    "geom_density_2d_sample",
    "geom_density_sample",
    "geom_density2d_filled_sample",
    "geom_density2d_sample",
    "geom_dotplot_sample",
    "geom_errorbar_sample",
    "geom_freqpoly_sample",
    "geom_hex_sample",
    "geom_histogram_sample",
    "geom_hline_sample",
    "geom_jitter_sample",
    "geom_label_sample",
    "geom_line_sample",
    "geom_linerange_sample",
    "geom_path_sample",
    "geom_point_sample",
    "geom_pointrange_sample",
    "geom_polygon_sample",
    "geom_qq_line_sample",
    "geom_qq_sample",
    "geom_quantile_sample",
    "geom_raster_sample",
    "geom_rect_sample",
    "geom_ribbon_sample",
    "geom_rug_sample",
    "geom_segment_sample",
    "geom_sf_sample",
    "geom_smooth_sample",
    "geom_spoke_sample",
    "geom_step_sample",
    "geom_text_sample",
    "geom_tile_sample",
    "geom_violin_sample",
    "geom_vline_sample",
    "position_dodge_dodge",
    "position_dodge_identity",
    "position_identity_dodge",
    "position_identity_identity",
    "position_identity_stack",
    "position_nest",
    "position_stack_dodge",
    "position_stack_identity",
    "position_subdivide",
    "PositionDodgeDodge",
    "PositionDodgeIdentity",
    "PositionIdentityDodge",
    "PositionIdentityStack",
    "PositionNest",
    "PositionStackDodge",
    "PositionStackIdentity",
    "PositionSubdivide",
    "sample_expand",
    "scale_x_continuous_distribution",
    "scale_x_discrete_distribution",
    "scale_y_continuous_distribution",
    "scale_y_discrete_distribution",
    "stat_align_sample",
    "stat_bin_2d_sample",
    "stat_bin_hex_sample",
    "stat_bin_sample",
    "stat_boxplot_sample",
    "stat_connect_sample",
    "stat_contour_filled_sample",
    "stat_contour_sample",
    "stat_count_sample",
    "stat_density_2d_filled_sample",
    "stat_density_2d_sample",
    "stat_density_sample",
    "stat_ecdf_sample",
    "stat_ellipse_sample",
    "stat_identity_sample",
    "stat_manual_sample",
    "stat_qq_line_sample",
    "stat_qq_sample",
    "stat_quantile_sample",
    "stat_smooth_sample",
    "stat_sum_sample",
    "stat_summary_2d_sample",
    "stat_summary_bin_sample",
    "stat_summary_hex_sample",
    "stat_summary_sample",
    "stat_unique_sample",
    "stat_ydensity_sample",
    "StatAlignSample",
    "StatBin2dSample",
    "StatBindotSample",
    "StatBinhexSample",
    "StatBinSample",
    "StatBoxplotSample",
    "StatConnectSample",
    "StatContourFilledSample",
    "StatContourSample",
    "StatCountSample",
    "StatDensity2dFilledSample",
    "StatDensity2dSample",
    "StatDensitySample",
    "StatEcdfSample",
    "StatEllipseSample",
    "StatIdentitySample",
    "StatManualSample",
    "StatQqLineSample",
    "StatQqSample",
    "StatQuantileSample",
    "StatSfSample",
    "StatSmoothSample",
    "StatSummary2dSample",
    "StatSummaryBinSample",
    "StatSummaryHexSample",
    "StatSummarySample",
    "StatSumSample",
    "StatUniqueSample",
    "StatYdensitySample"
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    },
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      "class": [
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        "data.frame"
      ],
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        "scientistID"
      ],
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    },
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        "data.frame"
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        "county_geometry"
      ],
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      "table": false,
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    },
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      "name": "uncertain_diamonds",
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      "object": "uncertain_diamonds",
      "class": [
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        "tbl",
        "data.frame"
      ],
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        "price_point",
        "carat_point",
        "cut_point",
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        "clarity_point",
        "depth_point",
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        "y_point",
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        "price_dist",
        "carat_dist",
        "cut_dist",
        "color_dist",
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        "y_dist",
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      ],
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    },
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        "data.frame"
      ],
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      ],
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    },
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      "object": "uncertain_economics_long",
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      "object": "uncertain_faithful",
      "class": [
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        "tbl",
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      ],
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      "tojson": false
    },
    {
      "name": "uncertain_faithfuld",
      "title": "2d density estimate of Old Faithful data with uncertainty",
      "object": "uncertain_faithfuld",
      "class": [
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        "tbl",
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        "waiting",
        "density",
        "density0",
        "density2"
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    },
    {
      "name": "uncertain_mpg",
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      "object": "uncertain_mpg",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
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        "model",
        "displ",
        "year",
        "cyl",
        "trans",
        "drv",
        "cty",
        "hwy",
        "fl",
        "class"
      ],
      "rows": 234,
      "table": false,
      "tojson": false
    },
    {
      "name": "uncertain_mtcars",
      "title": "An uncertain version of the mtcars data from base R 'datasets'",
      "object": "uncertain_mtcars",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "disp",
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        "drat",
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        "vs",
        "am",
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        "carb"
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      "table": false,
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    {
      "name": "walktober",
      "title": "Step Counts from Walktober 2025 Challenge",
      "object": "walktober",
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        "team",
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        "date",
        "steps"
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      "rows": 744,
      "table": true,
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  ],
  "_help": [
    {
      "page": "geom_abline_sample",
      "title": "Reference lines with uncertainty: horizontal, vertical, and diagonal",
      "topics": [
        "geom_abline_sample",
        "geom_hline_sample",
        "geom_vline_sample"
      ]
    },
    {
      "page": "geom_bar_sample",
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