{
  "_id": "6a1061e2acfb0bcc41ca7ccf",
  "Package": "riskyr",
  "Type": "Package",
  "Title": "Rendering Risk Literacy more Transparent",
  "Version": "0.5.0.9004",
  "Date": "2026-01-08",
  "Authors@R": "c(person(\"Hansjoerg\", \"Neth\", role = c(\"aut\", \"cre\"),\nemail = \"h.neth@uni.kn\", comment = c(ORCID = \"0000-0001-5427-3141\")),\nperson(\"Felix\", \"Gaisbauer\", role = \"aut\", comment = c(ORCID = \"0000-0002-1285-1246\")),\nperson(\"Nico\", \"Gradwohl\", role = \"aut\", comment = c(ORCID = \"0000-0002-8703-905X\")),\nperson(\"Wolfgang\", \"Gaissmaier\", role = \"aut\", comment = c(ORCID = \"0000-0001-6273-178X\")))",
  "Maintainer": "Hansjoerg Neth <h.neth@uni.kn>",
  "Description": "Risk-related information (like the prevalence of\nconditions, the sensitivity and specificity of diagnostic\ntests, or the effectiveness of interventions or treatments) can\nbe expressed in terms of frequencies or probabilities. By\nproviding a toolbox of corresponding metrics and\nrepresentations, 'riskyr' computes, translates, and visualizes\nrisk-related information in a variety of ways. Adopting\nmultiple complementary perspectives provides insights into the\ninterplay between key parameters and renders teaching and\ntraining programs on risk literacy more transparent (see\n<doi:10.3389/fpsyg.2020.567817>, for details).",
  "Collate": "'comp_util.R' 'init_txt.R' 'init_pal.R' 'init_prob.R'\n'comp_prob_prob.R' 'init_freq.R' 'comp_min_N.R' 'init_num.R'\n'init_prob_num.R' 'init_freq_num.R' 'comp_freq_freq.R'\n'comp_prob_freq.R' 'comp_xxxx_prob.R' 'comp_cum_risk.R'\n'comp_popu.R' 'comp_accu.R' 'plot_util.R' 'plot_area.R'\n'plot_tab.R' 'plot_prism.R' 'plot_fnet.R' 'plot_bar.R'\n'plot_icons.R' 'plot_curve.R' 'plot_crisk.R' 'plot_cum_risk.R'\n'plot_plane.R' 'plot_tree.R' 'plot_mosaic.R' 'data.R'\n'read_data.R' 'riskyr_class.R' 'riskyr_sims.R'\n'FFTrees_riskyr.R' 'start_riskyr.R'",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "License": "GPL-2 | GPL-3",
  "DOI": "10.32614/CRAN.package.riskyr",
  "URL": "https://riskyr.org/, https://CRAN.R-project.org/package=riskyr,\nhttps://github.com/hneth/riskyr/,\nhttps://hneth.github.io/riskyr/",
  "BugReports": "https://github.com/hneth/riskyr/issues/",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "Language": "en-US",
  "Repository": "https://hneth.r-universe.dev",
  "Date/Publication": "2026-01-08 13:42:15 UTC",
  "RemoteUrl": "https://github.com/hneth/riskyr",
  "RemoteRef": "HEAD",
  "RemoteSha": "74cf7484bbf0edd445a4c28b4d6bcd1d6c479c83",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-08 07:51:46 UTC",
    "User": "root"
  },
  "Author": "Hansjoerg Neth [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5427-3141>),\nFelix Gaisbauer [aut] (ORCID: <https://orcid.org/0000-0002-1285-1246>),\nNico Gradwohl [aut] (ORCID: <https://orcid.org/0000-0002-8703-905X>),\nWolfgang Gaissmaier [aut] (ORCID:\n<https://orcid.org/0000-0001-6273-178X>)",
  "MD5sum": "9554fcefe5b80d6c625729b86f582030",
  "_user": "hneth",
  "_type": "src",
  "_file": "riskyr_0.5.0.9004.tar.gz",
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  "_created": "2026-05-08T07:51:46.000Z",
  "_published": "2026-05-22T14:02:10.760Z",
  "_distro": "noble",
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    "message": "updates\n",
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    "email": "h.neth@uni.kn",
    "login": "hneth",
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      "role": "Suggests"
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  "_tags": [
    {
      "name": "v0.5.0",
      "date": "2025-09-15"
    }
  ],
  "_topics": [
    "2x2-matrix",
    "bayesian-inference",
    "contingency-table",
    "representation",
    "risk",
    "risk-literacy",
    "visualization"
  ],
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    "name": "Hansjörg Neth",
    "description": "Researcher at the University of Konstanz, Germany"
  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/riskyr"
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  "_devurl": "https://github.com/hneth/riskyr",
  "_pkgdown": "https://hneth.github.io/riskyr/",
  "_searchresults": 79,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/riskyr.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/hneth/riskyr",
  "_realowner": "hneth",
  "_cranurl": true,
  "_releases": [
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      "date": "2018-02-19"
    },
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      "date": "2019-01-03"
    },
    {
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    },
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      "date": "2022-08-15"
    },
    {
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  ],
  "_exports": [
    "accu",
    "as_pb",
    "as_pc",
    "comp_acc",
    "comp_accu_freq",
    "comp_accu_prob",
    "comp_comp_pair",
    "comp_complement",
    "comp_complete_prob_set",
    "comp_err",
    "comp_fart",
    "comp_FDR",
    "comp_FOR",
    "comp_freq",
    "comp_freq_freq",
    "comp_freq_prob",
    "comp_min_N",
    "comp_mirt",
    "comp_NPV",
    "comp_popu",
    "comp_ppod",
    "comp_PPV",
    "comp_prob",
    "comp_prob_freq",
    "comp_prob_prob",
    "comp_sens",
    "comp_spec",
    "FFTrees_riskyr",
    "freq",
    "init_num",
    "init_pal",
    "init_txt",
    "is_complement",
    "is_extreme_prob_set",
    "is_freq",
    "is_integer",
    "is_matrix",
    "is_perc",
    "is_prob",
    "is_suff_prob_set",
    "is_valid_prob_pair",
    "is_valid_prob_set",
    "is_valid_prob_triple",
    "num",
    "pal",
    "pal_bw",
    "pal_bwp",
    "pal_crisk",
    "pal_kn",
    "pal_mbw",
    "pal_mod",
    "pal_org",
    "pal_rgb",
    "pal_unikn",
    "pal_vir",
    "plot_area",
    "plot_bar",
    "plot_crisk",
    "plot_curve",
    "plot_fnet",
    "plot_icons",
    "plot_mosaic",
    "plot_plane",
    "plot_prism",
    "plot_tab",
    "plot_tree",
    "popu",
    "prob",
    "read_popu",
    "riskyr",
    "riskyr.guide",
    "scenarios",
    "txt",
    "txt_org",
    "txt_TF",
    "write_popu"
  ],
  "_datasets": [
    {
      "name": "BRCA1",
      "title": "Cumulative risk of breast cancer in women with the BRCA1 mutation.",
      "object": "BRCA1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y"
      ],
      "rows": 11,
      "table": true,
      "tojson": true
    },
    {
      "name": "BRCA1_mam",
      "title": "Cumulative risk of breast cancer in women with the BRCA1 mutation.",
      "object": "BRCA1_mam",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "cumRisk"
      ],
      "rows": 63,
      "table": true,
      "tojson": true
    },
    {
      "name": "BRCA1_ova",
      "title": "Cumulative risk of ovarian cancer in women with the BRCA1 mutation.",
      "object": "BRCA1_ova",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "cumRisk"
      ],
      "rows": 63,
      "table": true,
      "tojson": true
    },
    {
      "name": "BRCA2",
      "title": "Cumulative risk of breast cancer in women with the BRCA2 mutation.",
      "object": "BRCA2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y"
      ],
      "rows": 11,
      "table": true,
      "tojson": true
    },
    {
      "name": "BRCA2_mam",
      "title": "Cumulative risk of breast cancer in women with the BRCA2 mutation.",
      "object": "BRCA2_mam",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "cumRisk"
      ],
      "rows": 63,
      "table": true,
      "tojson": true
    },
    {
      "name": "BRCA2_ova",
      "title": "Cumulative risk of ovarian cancer in women with the BRCA2 mutation.",
      "object": "BRCA2_ova",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "cumRisk"
      ],
      "rows": 63,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_scenarios",
      "title": "A collection of riskyr scenarios from various sources (as df).",
      "object": "df_scenarios",
      "class": [
        "data.frame"
      ],
      "fields": [
        "scen_lbl",
        "scen_lng",
        "scen_txt",
        "popu_lbl",
        "cond_lbl",
        "cond_true_lbl",
        "cond_false_lbl",
        "dec_lbl",
        "dec_pos_lbl",
        "dec_neg_lbl",
        "hi_lbl",
        "mi_lbl",
        "fa_lbl",
        "cr_lbl",
        "prev",
        "sens",
        "spec",
        "fart",
        "N",
        "scen_src",
        "scen_apa"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "t_A",
      "title": "Cumulative risk curve A (main/transfer task A).",
      "object": "t_A",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "crisk_A"
      ],
      "rows": 17,
      "table": true,
      "tojson": true
    },
    {
      "name": "t_B",
      "title": "Cumulative risk curve B (main/transfer task B).",
      "object": "t_B",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "crisk_B"
      ],
      "rows": 17,
      "table": true,
      "tojson": true
    },
    {
      "name": "t_I",
      "title": "Cumulative risk curve I (introductory task).",
      "object": "t_I",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "crisk_I"
      ],
      "rows": 17,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "acc",
      "title": "Accuracy (acc) is the probability of a correct decision.",
      "concept": [
        "metrics",
        "probabilities"
      ],
      "topics": [
        "acc",
        "accurate",
        "correct"
      ]
    },
    {
      "page": "accu",
      "title": "A list containing current accuracy information.",
      "concept": [
        "lists containing current scenario information",
        "metrics"
      ],
      "topics": [
        "accu"
      ]
    },
    {
      "page": "as_pb",
      "title": "Display a percentage as a (numeric and rounded) probability.",
      "concept": [
        "display functions",
        "utility functions"
      ],
      "topics": [
        "as_pb"
      ]
    },
    {
      "page": "as_pc",
      "title": "Display a probability as a (numeric and rounded) percentage.",
      "concept": [
        "display functions",
        "utility functions"
      ],
      "topics": [
        "as_pc"
      ]
    },
    {
      "page": "BRCA1",
      "title": "Cumulative risk of breast cancer in women with the BRCA1 mutation.",
      "concept": [
        "datasets"
      ],
      "topics": [
        "BRCA1"
      ]
    },
    {
      "page": "BRCA1_mam",
      "title": "Cumulative risk of breast cancer in women with the BRCA1 mutation.",
      "concept": [
        "datasets"
      ],
      "topics": [
        "BRCA1_mam"
      ]
    },
    {
      "page": "BRCA1_ova",
      "title": "Cumulative risk of ovarian cancer in women with the BRCA1 mutation.",
      "concept": [
        "datasets"
      ],
      "topics": [
        "BRCA1_ova"
      ]
    },
    {
      "page": "BRCA2",
      "title": "Cumulative risk of breast cancer in women with the BRCA2 mutation.",
      "concept": [
        "datasets"
      ],
      "topics": [
        "BRCA2"
      ]
    },
    {
      "page": "BRCA2_mam",
      "title": "Cumulative risk of breast cancer in women with the BRCA2 mutation.",
      "concept": [
        "datasets"
      ],
      "topics": [
        "BRCA2_mam"
      ]
    },
    {
      "page": "BRCA2_ova",
      "title": "Cumulative risk of ovarian cancer in women with the BRCA2 mutation.",
      "concept": [
        "datasets"
      ],
      "topics": [
        "BRCA2_ova"
      ]
    },
    {
      "page": "comp_acc",
      "title": "Compute overall accuracy (acc) from probabilities.",
      "concept": [
        "functions computing probabilities",
        "metrics"
      ],
      "topics": [
        "comp_acc"
      ]
    },
    {
      "page": "comp_accu_freq",
      "title": "Compute accuracy metrics of current classification results.",
      "concept": [
        "functions computing probabilities",
        "metrics"
      ],
      "topics": [
        "comp_accu_freq"
      ]
    },
    {
      "page": "comp_accu_prob",
      "title": "Compute exact accuracy metrics based on probabilities.",
      "concept": [
        "functions computing probabilities",
        "metrics"
      ],
      "topics": [
        "comp_accu_prob"
      ]
    },
    {
      "page": "comp_comp_pair",
      "title": "Compute a probability's (missing) complement and return both.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_comp_pair"
      ]
    },
    {
      "page": "comp_complement",
      "title": "Compute a probability's complement probability.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_complement"
      ]
    },
    {
      "page": "comp_complete_prob_set",
      "title": "Compute a complete set of probabilities from valid probability inputs.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_complete_prob_set"
      ]
    },
    {
      "page": "comp_err",
      "title": "Compute overall error rate (err) from probabilities.",
      "concept": [
        "functions computing probabilities",
        "metrics"
      ],
      "topics": [
        "comp_err"
      ]
    },
    {
      "page": "comp_fart",
      "title": "Compute a decision's false alarm rate from its specificity.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_fart"
      ]
    },
    {
      "page": "comp_FDR",
      "title": "Compute a decision's false detection rate (FDR) from probabilities.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_FDR"
      ]
    },
    {
      "page": "comp_FOR",
      "title": "Compute a decision's false omission rate (FOR) from probabilities.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_FOR"
      ]
    },
    {
      "page": "comp_freq",
      "title": "Compute frequencies from (3 essential) probabilities.",
      "concept": [
        "functions computing frequencies"
      ],
      "topics": [
        "comp_freq"
      ]
    },
    {
      "page": "comp_freq_freq",
      "title": "Compute frequencies from (4 essential) frequencies.",
      "concept": [
        "format conversion functions",
        "functions computing frequencies"
      ],
      "topics": [
        "comp_freq_freq"
      ]
    },
    {
      "page": "comp_freq_prob",
      "title": "Compute frequencies from (3 essential) probabilities.",
      "concept": [
        "format conversion functions",
        "functions computing frequencies"
      ],
      "topics": [
        "comp_freq_prob"
      ]
    },
    {
      "page": "comp_min_N",
      "title": "Compute a suitable minimum population size value N.",
      "concept": [
        "functions computing frequencies"
      ],
      "topics": [
        "comp_min_N"
      ]
    },
    {
      "page": "comp_mirt",
      "title": "Compute a decision's miss rate from its sensitivity.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_mirt"
      ]
    },
    {
      "page": "comp_NPV",
      "title": "Compute a decision's negative predictive value (NPV) from probabilities.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_NPV"
      ]
    },
    {
      "page": "comp_popu",
      "title": "Compute a population table (data) from frequencies (description).",
      "concept": [
        "functions converting data/descriptions"
      ],
      "topics": [
        "comp_popu"
      ]
    },
    {
      "page": "comp_ppod",
      "title": "Compute the proportion of positive decisions (ppod) from probabilities.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_ppod"
      ]
    },
    {
      "page": "comp_PPV",
      "title": "Compute a decision's positive predictive value (PPV) from probabilities.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_PPV"
      ]
    },
    {
      "page": "comp_prev",
      "title": "Compute the condition's prevalence (baseline probability) from frequencies.",
      "concept": [
        "functions computing probabilities from frequencies"
      ],
      "topics": [
        "comp_prev"
      ]
    },
    {
      "page": "comp_prob",
      "title": "Compute probabilities from (3 essential) probabilities.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_prob"
      ]
    },
    {
      "page": "comp_prob_freq",
      "title": "Compute probabilities from (4 essential) frequencies.",
      "concept": [
        "format conversion functions",
        "functions computing probabilities"
      ],
      "topics": [
        "comp_prob_freq"
      ]
    },
    {
      "page": "comp_prob_prob",
      "title": "Compute probabilities from (3 essential) probabilities.",
      "concept": [
        "format conversion functions",
        "functions computing frequencies"
      ],
      "topics": [
        "comp_prob_prob"
      ]
    },
    {
      "page": "comp_sens",
      "title": "Compute a decision's sensitivity from its miss rate.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_sens"
      ]
    },
    {
      "page": "comp_spec",
      "title": "Compute a decision's specificity from its false alarm rate.",
      "concept": [
        "functions computing probabilities"
      ],
      "topics": [
        "comp_spec"
      ]
    },
    {
      "page": "cond_false",
      "title": "Number of individuals for which the condition is false.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "cond_false"
      ]
    },
    {
      "page": "cond_true",
      "title": "Number of individuals for which the condition is true.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "cond_true"
      ]
    },
    {
      "page": "cr",
      "title": "Frequency of correct rejections or true negatives (TN).",
      "concept": [
        "essential parameters",
        "frequencies"
      ],
      "topics": [
        "cr",
        "TN"
      ]
    },
    {
      "page": "dec_cor",
      "title": "Number of individuals for which the decision is correct.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "dec_cor"
      ]
    },
    {
      "page": "dec_err",
      "title": "Number of individuals for which the decision is erroneous.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "dec_err"
      ]
    },
    {
      "page": "dec_neg",
      "title": "Number of individuals for which the decision is negative.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "dec_neg"
      ]
    },
    {
      "page": "dec_pos",
      "title": "Number of individuals for which the decision is positive.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "dec_pos"
      ]
    },
    {
      "page": "df_scenarios",
      "title": "A collection of riskyr scenarios from various sources (as df).",
      "concept": [
        "datasets"
      ],
      "topics": [
        "df_scenarios"
      ]
    },
    {
      "page": "err",
      "title": "Error rate (err) as the probability of an incorrect decision.",
      "concept": [
        "metrics",
        "probabilities"
      ],
      "topics": [
        "err"
      ]
    },
    {
      "page": "fa",
      "title": "Frequency of false alarms or false positives (FP).",
      "concept": [
        "essential parameters",
        "frequencies"
      ],
      "topics": [
        "fa",
        "FP",
        "type-I-errors"
      ]
    },
    {
      "page": "fart",
      "title": "The false alarm rate (or false positive rate) of a decision process or diagnostic procedure.",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "alpha",
        "fallout",
        "fart",
        "FPR"
      ]
    },
    {
      "page": "FDR",
      "title": "The false detection rate of a decision process or diagnostic procedure.",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "FDR"
      ]
    },
    {
      "page": "FFTrees_riskyr",
      "title": "Convert from FFTrees to riskyr objects.",
      "concept": [
        "conversion functions"
      ],
      "topics": [
        "FFTrees_riskyr"
      ]
    },
    {
      "page": "FOR",
      "title": "The false omission rate (FOR) of a decision process or diagnostic procedure.",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "FOR"
      ]
    },
    {
      "page": "freq",
      "title": "List current frequency information.",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "freq"
      ]
    },
    {
      "page": "hi",
      "title": "Frequency of hits or true positives (TP).",
      "concept": [
        "essential parameters",
        "frequencies"
      ],
      "topics": [
        "hi",
        "TP"
      ]
    },
    {
      "page": "init_num",
      "title": "Initialize basic numeric variables.",
      "concept": [
        "functions initializing scenario information"
      ],
      "topics": [
        "init_num"
      ]
    },
    {
      "page": "init_pal",
      "title": "Initialize basic color information.",
      "concept": [
        "functions initializing scenario information"
      ],
      "topics": [
        "init_pal"
      ]
    },
    {
      "page": "init_txt",
      "title": "Initialize basic text elements.",
      "concept": [
        "functions initializing scenario information"
      ],
      "topics": [
        "init_txt"
      ]
    },
    {
      "page": "is_complement",
      "title": "Verify that two numbers are complements.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_complement"
      ]
    },
    {
      "page": "is_extreme_prob_set",
      "title": "Verify that a set of probabilities describes an extreme case.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_extreme_prob_set"
      ]
    },
    {
      "page": "is_freq",
      "title": "Verify that input is a frequency (positive integer value).",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_freq"
      ]
    },
    {
      "page": "is_integer",
      "title": "Test for inters (i.e., whole numbers).",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_integer"
      ]
    },
    {
      "page": "is_matrix",
      "title": "Verify a 2x2 matrix as a numeric contingency table.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_matrix"
      ]
    },
    {
      "page": "is_perc",
      "title": "Verify that input is a percentage (numeric value from 0 to 100).",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_perc"
      ]
    },
    {
      "page": "is_prob",
      "title": "Verify that input is a probability (numeric value from 0 to 1).",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_prob"
      ]
    },
    {
      "page": "is_suff_prob_set",
      "title": "Verify a sufficient set of probability inputs.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_suff_prob_set"
      ]
    },
    {
      "page": "is_valid_prob_pair",
      "title": "Verify that a pair of probability inputs can be a pair of complementary probabilities.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_valid_prob_pair"
      ]
    },
    {
      "page": "is_valid_prob_set",
      "title": "Verify that a set of probability inputs is valid.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_valid_prob_set"
      ]
    },
    {
      "page": "is_valid_prob_triple",
      "title": "Verify that a triple of essential probability inputs is valid.",
      "concept": [
        "verification functions"
      ],
      "topics": [
        "is_valid_prob_triple"
      ]
    },
    {
      "page": "mi",
      "title": "Frequency of misses or false negatives (FN).",
      "concept": [
        "essential parameters",
        "frequencies"
      ],
      "topics": [
        "FN",
        "mi",
        "type-II-errors"
      ]
    },
    {
      "page": "mirt",
      "title": "The miss rate of a decision process or diagnostic procedure.",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "beta",
        "FNR",
        "mirt"
      ]
    },
    {
      "page": "N",
      "title": "Number of individuals in the population.",
      "concept": [
        "frequencies"
      ],
      "topics": [
        "N"
      ]
    },
    {
      "page": "NPV",
      "title": "The negative predictive value of a decision process or diagnostic procedure.",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "NPV"
      ]
    },
    {
      "page": "num",
      "title": "List current values of basic numeric variables.",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "num"
      ]
    },
    {
      "page": "pal",
      "title": "List current values of scenario color palette.",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "pal"
      ]
    },
    {
      "page": "pal_bw",
      "title": "Alternative color palette for black-and-white (greyscale) graphs.",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_bw"
      ]
    },
    {
      "page": "pal_bwp",
      "title": "Alternative color palette for black-and-white graphs (for printing purposes).",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_bwp"
      ]
    },
    {
      "page": "pal_crisk",
      "title": "Color palette for cumulative risk curve.",
      "concept": [
        "color palettes"
      ],
      "topics": [
        "pal_crisk"
      ]
    },
    {
      "page": "pal_kn",
      "title": "Alternative color palette for kn.",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_kn"
      ]
    },
    {
      "page": "pal_mbw",
      "title": "Modern and reduced color palette (in green/blue/bw).",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_mbw"
      ]
    },
    {
      "page": "pal_mod",
      "title": "Modern color palette (in green/blue/orange).",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_mod"
      ]
    },
    {
      "page": "pal_org",
      "title": "Original color palette.",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_org"
      ]
    },
    {
      "page": "pal_rgb",
      "title": "Alternative color palette for graphs (with RGB colors).",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_rgb"
      ]
    },
    {
      "page": "pal_unikn",
      "title": "Alternative color palette for unikn.",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_unikn"
      ]
    },
    {
      "page": "pal_vir",
      "title": "Alternative color palette using viridis colors.",
      "concept": [
        "color palettes",
        "lists containing current scenario information"
      ],
      "topics": [
        "pal_vir"
      ]
    },
    {
      "page": "plot_area",
      "title": "Plot an area diagram of probabilities or frequencies.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_area"
      ]
    },
    {
      "page": "plot_bar",
      "title": "Plot bar charts of population frequencies.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_bar"
      ]
    },
    {
      "page": "plot_cbar",
      "title": "Plot cumulative risk dynamics (as bar chart)",
      "topics": [
        "plot_cbar"
      ]
    },
    {
      "page": "plot_crisk",
      "title": "Plot a cumulative risk curve.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_crisk"
      ]
    },
    {
      "page": "plot_curve",
      "title": "Plot curves of selected values (e.g., PPV or NPV) as a function of prevalence.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_curve"
      ]
    },
    {
      "page": "plot_fnet",
      "title": "Plot frequency net diagram of frequencies and probabilities.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_fnet"
      ]
    },
    {
      "page": "plot_icons",
      "title": "Plot an icon array of a population.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_icons"
      ]
    },
    {
      "page": "plot_mosaic",
      "title": "Plot a mosaic plot of population frequencies.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_mosaic"
      ]
    },
    {
      "page": "plot_plane",
      "title": "Plot a plane of selected values (e.g., PPV or NPV) as a function of sensitivity and specificity.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_plane"
      ]
    },
    {
      "page": "plot_prism",
      "title": "Plot prism diagram of frequencies and probabilities.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_prism"
      ]
    },
    {
      "page": "plot_tab",
      "title": "Plot a 2 x 2 contingency table of population frequencies.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_tab"
      ]
    },
    {
      "page": "plot_tree",
      "title": "Plot a tree diagram of frequencies and probabilities.",
      "concept": [
        "visualization functions"
      ],
      "topics": [
        "plot_tree"
      ]
    },
    {
      "page": "plot.box",
      "title": "Plot a frequency box object",
      "concept": [
        "utility functions"
      ],
      "topics": [
        "plot.box"
      ]
    },
    {
      "page": "plot.riskyr",
      "title": "Plot a riskyr scenario.",
      "concept": [
        "riskyr scenario functions",
        "visualization functions"
      ],
      "topics": [
        "plot.riskyr"
      ]
    },
    {
      "page": "popu",
      "title": "A table of cases (in the current population).",
      "topics": [
        "popu"
      ]
    },
    {
      "page": "ppod",
      "title": "The proportion (or baseline) of a positive decision (aka. bias).",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "baserate_dec_pos",
        "bias",
        "ppod",
        "PR"
      ]
    },
    {
      "page": "PPV",
      "title": "The positive predictive value of a decision process or diagnostic procedure.",
      "concept": [
        "probabilities"
      ],
      "topics": [
        "PPV",
        "precision"
      ]
    },
    {
      "page": "prev",
      "title": "The prevalence (baseline probability) of a condition.",
      "concept": [
        "essential parameters",
        "probabilities"
      ],
      "topics": [
        "baserate_cond_true",
        "prev"
      ]
    },
    {
      "page": "print.summary.riskyr",
      "title": "Print summary information of a riskyr scenario.",
      "concept": [
        "print functions"
      ],
      "topics": [
        "print.summary.riskyr"
      ]
    },
    {
      "page": "prob",
      "title": "List current probability information.",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "prob"
      ]
    },
    {
      "page": "read_popu",
      "title": "Read population data (from df) into a riskyr scenario (description).",
      "concept": [
        "functions converting data/descriptions"
      ],
      "topics": [
        "read_popu"
      ]
    },
    {
      "page": "riskyr",
      "title": "Create a riskyr scenario.",
      "concept": [
        "functions initializing scenario information",
        "riskyr scenario functions"
      ],
      "topics": [
        "riskyr"
      ]
    },
    {
      "page": "riskyr.guide",
      "title": "Opens the riskyr package guides",
      "topics": [
        "riskyr.guide"
      ]
    },
    {
      "page": "scenarios",
      "title": "A collection of riskyr scenarios from various sources (as list).",
      "topics": [
        "scenarios"
      ]
    },
    {
      "page": "sens",
      "title": "The sensitivity (or hit rate) of a decision process or diagnostic procedure.",
      "concept": [
        "essential parameters",
        "probabilities"
      ],
      "topics": [
        "HR",
        "power",
        "recall",
        "sens",
        "TPR"
      ]
    },
    {
      "page": "spec",
      "title": "The specificity of a decision process or diagnostic procedure.",
      "concept": [
        "essential parameters",
        "probabilities"
      ],
      "topics": [
        "spec",
        "TNR"
      ]
    },
    {
      "page": "summary.riskyr",
      "title": "Summarize a riskyr scenario.",
      "concept": [
        "riskyr scenario functions",
        "summary functions"
      ],
      "topics": [
        "summary.riskyr"
      ]
    },
    {
      "page": "t_A",
      "title": "Cumulative risk curve A (main/transfer task A).",
      "concept": [
        "datasets"
      ],
      "topics": [
        "t_A"
      ]
    },
    {
      "page": "t_B",
      "title": "Cumulative risk curve B (main/transfer task B).",
      "concept": [
        "datasets"
      ],
      "topics": [
        "t_B"
      ]
    },
    {
      "page": "t_I",
      "title": "Cumulative risk curve I (introductory task).",
      "concept": [
        "datasets"
      ],
      "topics": [
        "t_I"
      ]
    },
    {
      "page": "txt",
      "title": "Basic text elements.",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "txt"
      ]
    },
    {
      "page": "txt_org",
      "title": "List of original values of text elements.",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "txt_org"
      ]
    },
    {
      "page": "txt_TF",
      "title": "Alternative text labels (TP, FN, FP, TN).",
      "concept": [
        "lists containing current scenario information"
      ],
      "topics": [
        "txt_TF"
      ]
    },
    {
      "page": "write_popu",
      "title": "Write a population table (data) from a riskyr scenario (description).",
      "concept": [
        "functions converting data/descriptions"
      ],
      "topics": [
        "write_popu"
      ]
    }
  ],
  "_pkglogo": "https://github.com/hneth/riskyr/raw/HEAD/logo.png",
  "_readme": "https://github.com/hneth/riskyr/raw/HEAD/README.md",
  "_rundeps": [],
  "_vignettes": [
    {
      "source": "A_user_guide.Rmd",
      "filename": "A_user_guide.html",
      "title": "riskyr user guide",
      "author": "Hansjörg Neth, SPDS, uni.kn",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Motivation: A problem of probabilities",
        "Information provided and asked",
        "Using Bayes' theorem",
        "Using natural frequencies",
        "Using riskyr",
        "Risk vs. uncertainty",
        "Promoting risk perception and communication",
        "A. A fancy calculator",
        "B. Translating between formats",
        "Computing frequencies from probabilities",
        "Computing probabilities from frequencies",
        "Switching back and forth",
        "All at once: Defining a riskyr scenario",
        "C. Visualizing relationships between formats and variables",
        "Icon array",
        "Tree diagram",
        "Area plot",
        "Bar plot",
        "Prism plot",
        "Alternative perspectives",
        "References",
        "Resources",
        "Contact",
        "All riskyr vignettes"
      ],
      "created": "2018-02-12 08:24:04",
      "modified": "2025-11-05 13:49:22",
      "commits": 65
    },
    {
      "source": "C_confusion_matrix.Rmd",
      "filename": "C_confusion_matrix.html",
      "title": "Confusion matrix and accuracy metrics",
      "author": "Hansjörg Neth, SPDS, uni.kn",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Basics",
        "Adopting two perspectives on a population",
        "Example",
        "Accuracy as a third perspective",
        "Avoiding common sources of confusion",
        "Accuracy metrics",
        "A. Specific metrics: Conditional probabilities",
        "B. General metrics: Measures of accuracy",
        "1. Overall accuracy acc",
        "2. Weighted accuracy wacc",
        "3. Matthews correlation coefficient mcc",
        "4. F1 score",
        "References",
        "Resources",
        "Contact",
        "All riskyr vignettes"
      ],
      "created": "2018-02-12 08:24:04",
      "modified": "2025-11-05 13:49:22",
      "commits": 44
    },
    {
      "source": "B_data_formats.Rmd",
      "filename": "B_data_formats.html",
      "title": "Data formats",
      "author": "Hansjörg Neth, SPDS, uni.kn",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Two representational formats",
        "Frequencies",
        "Definitions",
        "Perspectives: Basic vs. combined frequencies",
        "Relationships among frequencies",
        "Probabilities",
        "Non-conditional vs. conditional probabilities",
        "Relationships among probabilities",
        "Probabilities as ratios between frequencies",
        "Practice",
        "An example",
        "Your tasks",
        "References",
        "Resources",
        "Contact",
        "All riskyr vignettes"
      ],
      "created": "2018-02-12 08:24:04",
      "modified": "2025-11-05 13:49:22",
      "commits": 36
    },
    {
      "source": "D_functional_perspectives.Rmd",
      "filename": "D_functional_perspectives.html",
      "title": "Adopting functional perspectives",
      "author": "Hansjörg Neth, SPDS, uni.kn",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Functions",
        "Curves as a function of prevalence",
        "Planes as a function of sensitivity and specificity (given a prevalence)",
        "Resources",
        "Contact",
        "All riskyr vignettes"
      ],
      "created": "2018-02-13 12:51:06",
      "modified": "2025-11-05 13:49:22",
      "commits": 31
    },
    {
      "source": "E_riskyr_primer.Rmd",
      "filename": "E_riskyr_primer.html",
      "title": "Quick start primer on using riskyr",
      "author": "Hansjörg Neth & Nico Gradwohl, SPDS, uni.kn",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Getting started",
        "Defining a scenario",
        "Example",
        "Necessary scenario information",
        "Optional scenario information",
        "Viewing scenario information",
        "Prism plot",
        "Practice",
        "Icon array",
        "Alternative perspectives",
        "Using existing scenarios",
        "1. Selecting a scenario",
        "2. Printing scenario information",
        "3. Visualizing frequencies and probabilities",
        "4. Visualizing probabilistic relationships",
        "Conclusion",
        "References",
        "Resources",
        "Contact",
        "All riskyr vignettes"
      ],
      "created": "2018-02-14 13:07:56",
      "modified": "2025-11-05 13:49:22",
      "commits": 49
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