{
  "_id": "6ad3572ade48616761a36d75",
  "Package": "beezdiscounting",
  "Title": "Behavioral Economic Easy Discounting",
  "Version": "0.4.0.9000",
  "Date": "2026-08-24",
  "Authors@R": "person(given = \"Brent A.\", family = \"Kaplan\", email = \"bkaplan.ku@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3758-6776\"))",
  "Description": "Facilitates some of the analyses performed in studies of\nbehavioral economic discounting. The package supports scoring\nof the 21- and 27-Item Monetary Choice Questionnaires (see\nKaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>), scoring\nof the 30-Item Probability Discounting Questionnaire (see\nMadden et al., 2009; <doi:10.1037/a0016806>), calculating k\nvalues (Mazur's simple hyperbolic and exponential) using\nnonlinear regression, calculating various Area Under the Curve\n(AUC) measures, plotting regression curves for both\nfit-to-group and two-stage approaches, checking for\nunsystematic discounting (Johnson & Bickel, 2008;\n<doi:10.1037/1064-1297.16.3.264>) and scoring of the minute\ndiscounting task (see Koffarnus & Bickel, 2014;\n<doi:10.1037/a0035973>) using the Qualtrics 5-trial discounting\ntemplate (see the Qualtrics Minute Discounting User Guide;\n<doi:10.13140/RG.2.2.26495.79527>), which is also available as\na .qsf file in this package. The package also fits\nmixed-effects (hierarchical) discounting models with a\nscale-location-truncated beta likelihood that admits\nindifference points at exactly 0 and 1 (Kim, Kaplan, Koffarnus,\nand Franck, 2025; <arXiv:2509.13167>). The package also\nimplements the linearized Mazur estimator, random-effects\nmodel, and F-test of Hinds et al. (2026;\n<doi:10.1016/j.jmp.2026.103006>).",
  "License": "GPL (>= 2)",
  "URL": "https://brentkaplan.github.io/beezdiscounting/,\nhttps://github.com/brentkaplan/beezdiscounting",
  "BugReports": "https://github.com/brentkaplan/beezdiscounting/issues",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "Roxygen": "list(markdown = TRUE)",
  "VignetteBuilder": "knitr",
  "SystemRequirements": "GNU make",
  "Config/testthat/edition": "3",
  "LazyData": "true",
  "Config/roxygen2/version": "8.0.0",
  "RoxygenNote": "7.3.3",
  "Repository": "https://brentkaplan.r-universe.dev",
  "Date/Publication": "2026-09-17 21:39:54 UTC",
  "RemoteUrl": "https://github.com/brentkaplan/beezdiscounting",
  "RemoteRef": "develop",
  "RemoteSha": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-17 10:54:51 UTC",
    "User": "root"
  },
  "Author": "Brent A. Kaplan [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-3758-6776>)",
  "Maintainer": "Brent A. Kaplan <bkaplan.ku@gmail.com>",
  "_user": "brentkaplan",
  "_type": "src",
  "_file": "beezdiscounting_0.4.0.9000.tar.gz",
  "_fileid": "https://r2.ropensci.org/30257d0abed91c8dab2cccfb5b4c3afc79f13bbabfce5439fe59a377737f5852",
  "_filesize": 2042559,
  "_sha256": "30257d0abed91c8dab2cccfb5b4c3afc79f13bbabfce5439fe59a377737f5852",
  "_expires": "2027-01-25T11:08:24.000Z",
  "_created": "2026-10-17T10:54:51.000Z",
  "_published": "2026-10-17T11:08:26.694Z",
  "_buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 117379259490,
      "time": 238,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12098592667"
    },
    {
      "job": 117379259477,
      "time": 272,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12098534225"
    },
    {
      "job": 117379259550,
      "time": 220,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12099121022"
    },
    {
      "job": 117379259421,
      "time": 198,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12099180500"
    },
    {
      "job": 117379259571,
      "time": 176,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12098603177"
    },
    {
      "job": 117379259489,
      "time": 351,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12099290141"
    },
    {
      "job": 117379259447,
      "time": 257,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12098674112"
    },
    {
      "job": 117379259428,
      "time": 503,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12099380640"
    },
    {
      "job": 117378076924,
      "time": 396,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12099016551"
    },
    {
      "job": 117379259483,
      "time": 146,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12098932460"
    },
    {
      "job": 117379259515,
      "time": 469,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12099235304"
    },
    {
      "job": 117379259492,
      "time": 232,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12097979407"
    },
    {
      "job": 117379259450,
      "time": 237,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12098663779"
    },
    {
      "job": 117379259472,
      "time": 496,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12099171114"
    },
    {
      "job": 117379259508,
      "time": 237,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12098937600"
    }
  ],
  "_upstream": "https://github.com/brentkaplan/beezdiscounting",
  "_commit": {
    "id": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
    "author": "Brent Kaplan <bkaplan.ku@gmail.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #4 from brentkaplan/dependabot/github_actions/develop/ci-actions-92cb4b1445\n\nbuild(deps): bump the ci-actions group across 1 directory with 4 updates",
    "time": 1789681194
  },
  "_maintainer": {
    "name": "Brent A. Kaplan",
    "email": "bkaplan.ku@gmail.com",
    "login": "brentkaplan",
    "linkedin": "in/brent-kaplan",
    "orcid": "0000-0002-3758-6776",
    "description": "Data Scientist at Advocates for Human Potential, Inc.",
    "uuid": 14001955
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2.0",
      "role": "Depends"
    },
    {
      "package": "RcppEigen",
      "role": "LinkingTo"
    },
    {
      "package": "TMB",
      "role": "LinkingTo"
    },
    {
      "package": "beezdemand",
      "role": "Imports"
    },
    {
      "package": "broom",
      "role": "Imports"
    },
    {
      "package": "cli",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "generics",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "gtools",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "minpack.lm",
      "role": "Imports"
    },
    {
      "package": "nlme",
      "role": "Imports"
    },
    {
      "package": "psych",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "TMB",
      "version": ">= 1.9.0",
      "role": "Imports"
    },
    {
      "package": "brms",
      "version": ">= 2.20.0",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "loo",
      "role": "Suggests"
    },
    {
      "package": "posterior",
      "role": "Suggests"
    },
    {
      "package": "pwr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "brentkaplan",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-13",
      "n": 2
    },
    {
      "week": "2026-23",
      "n": 59
    },
    {
      "week": "2026-24",
      "n": 85
    },
    {
      "week": "2026-25",
      "n": 13
    },
    {
      "week": "2026-26",
      "n": 5
    },
    {
      "week": "2026-32",
      "n": 23
    },
    {
      "week": "2026-33",
      "n": 23
    },
    {
      "week": "2026-34",
      "n": 3
    },
    {
      "week": "2026-35",
      "n": 5
    },
    {
      "week": "2026-38",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "linearized-independent",
      "date": "2026-08-26"
    }
  ],
  "_topics": [
    "5-trial-discounting",
    "delay-discounting",
    "monetary-choice-questionnaire",
    "cpp"
  ],
  "_stars": 2,
  "_contributors": [
    {
      "user": "brentkaplan",
      "count": 292,
      "uuid": 14001955
    }
  ],
  "_userbio": {
    "uuid": 14001955,
    "type": "user",
    "name": "Brent Kaplan",
    "followers": 31,
    "description": "Data Scientist at Advocates for Human Potential, Inc."
  },
  "_downloads": {
    "count": 395,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/beezdiscounting"
  },
  "_devurl": "https://github.com/brentkaplan/beezdiscounting",
  "_pkgdown": "https://brentkaplan.github.io/beezdiscounting/",
  "_searchresults": 17,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/beezdiscounting.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/brentkaplan/beezdiscounting",
  "_realowner": "brentkaplan",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2023-10-26"
    },
    {
      "version": "0.2.0",
      "date": "2023-11-02"
    },
    {
      "version": "0.3.0",
      "date": "2023-11-15"
    },
    {
      "version": "0.3.1",
      "date": "2023-11-16"
    },
    {
      "version": "0.3.2",
      "date": "2025-01-09"
    }
  ],
  "_exports": [
    "%>%",
    "ans_dd",
    "ans_pd",
    "augment",
    "calc_aucs",
    "calc_conf_int",
    "calc_dd",
    "calc_pd",
    "calc_r2",
    "check_unsystematic",
    "default_dd_choice_priors",
    "default_dd_priors",
    "find_n_discounting",
    "fit_dd",
    "fit_dd_brms",
    "fit_dd_choice",
    "fit_dd_choice_brms",
    "fit_dd_linear",
    "fit_dd_tmb",
    "fixef",
    "generate_data_mcq",
    "get_dd_comparisons",
    "get_dd_param_emms",
    "get_lookup_table",
    "glance",
    "long_to_wide_mcq",
    "long_to_wide_mcq_excel",
    "mcq_to_choice",
    "mcq27_to_choice",
    "pdq_to_choice",
    "plot_dd",
    "plot_qq",
    "power_discounting",
    "prop_sc",
    "prop_ss",
    "ranef",
    "results_dd",
    "score_dd",
    "score_mcq",
    "score_mcq27",
    "score_pd",
    "score_pdq",
    "simulate_dd_choice",
    "simulate_dd_ip",
    "simulate_dd_linear",
    "summarize_mcq",
    "tidy",
    "timing_dd",
    "timing_pd",
    "wide_to_long_mcq",
    "wide_to_long_mcq_excel"
  ],
  "_datasets": [
    {
      "name": "dd_ip",
      "title": "Delay Discounting Data",
      "object": "dd_ip",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "x",
        "y"
      ],
      "rows": 600,
      "table": true,
      "tojson": true
    },
    {
      "name": "five.fivetrial_dd",
      "title": "Example Qualtrics output from the 5.5 trial delay discounting template.",
      "object": "five.fivetrial_dd",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Status",
        "Progress",
        "Duration (in seconds)",
        "Finished",
        "ResponseId",
        "DistributionChannel",
        "UserLanguage",
        "I16",
        "I16-Timing_First Click",
        "I16-Timing_Last Click",
        "I16-Timing_Page Submit",
        "I16-Timing_Click Count",
        "I8",
        "I8-Timing_First Click",
        "I8-Timing_Last Click",
        "I8-Timing_Page Submit",
        "I8-Timing_Click Count",
        "I24",
        "I24-Timing_First Click",
        "I24-Timing_Last Click",
        "I24-Timing_Page Submit",
        "I24-Timing_Click Count",
        "I4",
        "I4-Timing_First Click",
        "I4-Timing_Last Click",
        "I4-Timing_Page Submit",
        "I4-Timing_Click Count",
        "I20",
        "I20-Timing_First Click",
        "I20-Timing_Last Click",
        "I20-Timing_Page Submit",
        "I20-Timing_Click Count",
        "I28",
        "I28-Timing_First Click",
        "I28-Timing_Last Click",
        "I28-Timing_Page Submit",
        "I28-Timing_Click Count",
        "I12",
        "I12-Timing_First Click",
        "I12-Timing_Last Click",
        "I12-Timing_Page Submit",
        "I12-Timing_Click Count",
        "I2",
        "I2-Timing_First Click",
        "I2-Timing_Last Click",
        "I2-Timing_Page Submit",
        "I2-Timing_Click Count",
        "I10",
        "I10-Timing_First Click",
        "I10-Timing_Last Click",
        "I10-Timing_Page Submit",
        "I10-Timing_Click Count",
        "I22",
        "I22-Timing_First Click",
        "I22-Timing_Last Click",
        "I22-Timing_Page Submit",
        "I22-Timing_Click Count",
        "I18",
        "I18-Timing_First Click",
        "I18-Timing_Last Click",
        "I18-Timing_Page Submit",
        "I18-Timing_Click Count",
        "I26",
        "I26-Timing_First Click",
        "I26-Timing_Last Click",
        "I26-Timing_Page Submit",
        "I26-Timing_Click Count",
        "I30",
        "I30-Timing_First Click",
        "I30-Timing_Last Click",
        "I30-Timing_Page Submit",
        "I30-Timing_Click Count",
        "I14",
        "I14-Timing_First Click",
        "I14-Timing_Last Click",
        "I14-Timing_Page Submit",
        "I14-Timing_Click Count",
        "I6",
        "I6-Timing_First Click",
        "I6-Timing_Last Click",
        "I6-Timing_Page Submit",
        "I6-Timing_Click Count",
        "I1",
        "I1-Timing_First Click",
        "I1-Timing_Last Click",
        "I1-Timing_Page Submit",
        "I1-Timing_Click Count",
        "I5",
        "I5-Timing_First Click",
        "I5-Timing_Last Click",
        "I5-Timing_Page Submit",
        "I5-Timing_Click Count",
        "I9",
        "I9-Timing_First Click",
        "I9-Timing_Last Click",
        "I9-Timing_Page Submit",
        "I9-Timing_Click Count",
        "I13",
        "I13-Timing_First Click",
        "I13-Timing_Last Click",
        "I13-Timing_Page Submit",
        "I13-Timing_Click Count",
        "I17",
        "I17-Timing_First Click",
        "I17-Timing_Last Click",
        "I17-Timing_Page Submit",
        "I17-Timing_Click Count",
        "I19",
        "I19-Timing_First Click",
        "I19-Timing_Last Click",
        "I19-Timing_Page Submit",
        "I19-Timing_Click Count",
        "I21",
        "I21-Timing_First Click",
        "I21-Timing_Last Click",
        "I21-Timing_Page Submit",
        "I21-Timing_Click Count",
        "I23",
        "I23-Timing_First Click",
        "I23-Timing_Last Click",
        "I23-Timing_Page Submit",
        "I23-Timing_Click Count",
        "I25",
        "I25-Timing_First Click",
        "I25-Timing_Last Click",
        "I25-Timing_Page Submit",
        "I25-Timing_Click Count",
        "I29",
        "I29-Timing_First Click",
        "I29-Timing_Last Click",
        "I29-Timing_Page Submit",
        "I29-Timing_Click Count",
        "I31",
        "I31-Timing_First Click",
        "I31-Timing_Last Click",
        "I31-Timing_Page Submit",
        "I31-Timing_Click Count",
        "I27",
        "I27-Timing_First Click",
        "I27-Timing_Last Click",
        "I27-Timing_Page Submit",
        "I27-Timing_Click Count",
        "I15",
        "I15-Timing_First Click",
        "I15-Timing_Last Click",
        "I15-Timing_Page Submit",
        "I15-Timing_Click Count",
        "I11",
        "I11-Timing_First Click",
        "I11-Timing_Last Click",
        "I11-Timing_Page Submit",
        "I11-Timing_Click Count",
        "I7",
        "I7-Timing_First Click",
        "I7-Timing_Last Click",
        "I7-Timing_Page Submit",
        "I7-Timing_Click Count",
        "I3",
        "I3-Timing_First Click",
        "I3-Timing_Last Click",
        "I3-Timing_Page Submit",
        "I3-Timing_Click Count",
        "Attend-SS",
        "Attend-SS-Timing_First Click",
        "Attend-SS-Timing_Last Click",
        "Attend-SS-Timing_Page Submit",
        "Attend-SS-Timing_Click Count",
        "Attend-LL",
        "Attend-LL-Timing_First Click",
        "Attend-LL-Timing_Last Click",
        "Attend-LL-Timing_Page Submit",
        "Attend-LL-Timing_Click Count",
        "Amount",
        "Currency",
        "Commodity"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "five.fivetrial_pd",
      "title": "Example Qualtrics output from the 5.5 trial probability discounting template.",
      "object": "five.fivetrial_pd",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ResponseId",
        "I16",
        "I16-Timing_First Click",
        "I16-Timing_Last Click",
        "I16-Timing_Page Submit",
        "I16-Timing_Click Count",
        "I8",
        "I8-Timing_First Click",
        "I8-Timing_Last Click",
        "I8-Timing_Page Submit",
        "I8-Timing_Click Count",
        "I24",
        "I24-Timing_First Click",
        "I24-Timing_Last Click",
        "I24-Timing_Page Submit",
        "I24-Timing_Click Count",
        "I4",
        "I4-Timing_First Click",
        "I4-Timing_Last Click",
        "I4-Timing_Page Submit",
        "I4-Timing_Click Count",
        "I20",
        "I20-Timing_First Click",
        "I20-Timing_Last Click",
        "I20-Timing_Page Submit",
        "I20-Timing_Click Count",
        "I28",
        "I28-Timing_First Click",
        "I28-Timing_Last Click",
        "I28-Timing_Page Submit",
        "I28-Timing_Click Count",
        "I12",
        "I12-Timing_First Click",
        "I12-Timing_Last Click",
        "I12-Timing_Page Submit",
        "I12-Timing_Click Count",
        "I2",
        "I2-Timing_First Click",
        "I2-Timing_Last Click",
        "I2-Timing_Page Submit",
        "I2-Timing_Click Count",
        "I10",
        "I10-Timing_First Click",
        "I10-Timing_Last Click",
        "I10-Timing_Page Submit",
        "I10-Timing_Click Count",
        "I22",
        "I22-Timing_First Click",
        "I22-Timing_Last Click",
        "I22-Timing_Page Submit",
        "I22-Timing_Click Count",
        "I18",
        "I18-Timing_First Click",
        "I18-Timing_Last Click",
        "I18-Timing_Page Submit",
        "I18-Timing_Click Count",
        "I26",
        "I26-Timing_First Click",
        "I26-Timing_Last Click",
        "I26-Timing_Page Submit",
        "I26-Timing_Click Count",
        "I30",
        "I30-Timing_First Click",
        "I30-Timing_Last Click",
        "I30-Timing_Page Submit",
        "I30-Timing_Click Count",
        "I14",
        "I14-Timing_First Click",
        "I14-Timing_Last Click",
        "I14-Timing_Page Submit",
        "I14-Timing_Click Count",
        "I6",
        "I6-Timing_First Click",
        "I6-Timing_Last Click",
        "I6-Timing_Page Submit",
        "I6-Timing_Click Count",
        "I1",
        "I1-Timing_First Click",
        "I1-Timing_Last Click",
        "I1-Timing_Page Submit",
        "I1-Timing_Click Count",
        "I5",
        "I5-Timing_First Click",
        "I5-Timing_Last Click",
        "I5-Timing_Page Submit",
        "I5-Timing_Click Count",
        "I9",
        "I9-Timing_First Click",
        "I9-Timing_Last Click",
        "I9-Timing_Page Submit",
        "I9-Timing_Click Count",
        "I13",
        "I13-Timing_First Click",
        "I13-Timing_Last Click",
        "I13-Timing_Page Submit",
        "I13-Timing_Click Count",
        "I17",
        "I17-Timing_First Click",
        "I17-Timing_Last Click",
        "I17-Timing_Page Submit",
        "I17-Timing_Click Count",
        "I19",
        "I19-Timing_First Click",
        "I19-Timing_Last Click",
        "I19-Timing_Page Submit",
        "I19-Timing_Click Count",
        "I21",
        "I21-Timing_First Click",
        "I21-Timing_Last Click",
        "I21-Timing_Page Submit",
        "I21-Timing_Click Count",
        "I23",
        "I23-Timing_First Click",
        "I23-Timing_Last Click",
        "I23-Timing_Page Submit",
        "I23-Timing_Click Count",
        "I25",
        "I25-Timing_First Click",
        "I25-Timing_Last Click",
        "I25-Timing_Page Submit",
        "I25-Timing_Click Count",
        "I29",
        "I29-Timing_First Click",
        "I29-Timing_Last Click",
        "I29-Timing_Page Submit",
        "I29-Timing_Click Count",
        "I31",
        "I31-Timing_First Click",
        "I31-Timing_Last Click",
        "I31-Timing_Page Submit",
        "I31-Timing_Click Count",
        "I27",
        "I27-Timing_First Click",
        "I27-Timing_Last Click",
        "I27-Timing_Page Submit",
        "I27-Timing_Click Count",
        "I15",
        "I15-Timing_First Click",
        "I15-Timing_Last Click",
        "I15-Timing_Page Submit",
        "I15-Timing_Click Count",
        "I11",
        "I11-Timing_First Click",
        "I11-Timing_Last Click",
        "I11-Timing_Page Submit",
        "I11-Timing_Click Count",
        "I7",
        "I7-Timing_First Click",
        "I7-Timing_Last Click",
        "I7-Timing_Page Submit",
        "I7-Timing_Click Count",
        "I3",
        "I3-Timing_First Click",
        "I3-Timing_Last Click",
        "I3-Timing_Page Submit",
        "I3-Timing_Click Count",
        "Attend-SS",
        "Attend-SS-Timing_First Click",
        "Attend-SS-Timing_Last Click",
        "Attend-SS-Timing_Page Submit",
        "Attend-SS-Timing_Click Count",
        "Attend-LL",
        "Attend-LL-Timing_First Click",
        "Attend-LL-Timing_Last Click",
        "Attend-LL-Timing_Page Submit",
        "Attend-LL-Timing_Click Count"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "mcq21",
      "title": "Example 21-item MCQ data",
      "object": "mcq21",
      "class": [
        "data.frame"
      ],
      "fields": [
        "subjectid",
        "questionid",
        "response"
      ],
      "rows": 42,
      "table": true,
      "tojson": true
    },
    {
      "name": "mcq27",
      "title": "Example 27-item MCQ data",
      "object": "mcq27",
      "class": [
        "data.frame"
      ],
      "fields": [
        "subjectid",
        "questionid",
        "response"
      ],
      "rows": 54,
      "table": true,
      "tojson": true
    },
    {
      "name": "pdq",
      "title": "Example 30-item PDQ data",
      "object": "pdq",
      "class": [
        "data.frame"
      ],
      "fields": [
        "subjectid",
        "questionid",
        "response"
      ],
      "rows": 60,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "anova.beezdiscounting_linear",
      "title": "F-test for condition means in a linearized Mazur fit (Hinds et al. 2026, Prop. 3.5)",
      "topics": [
        "anova.beezdiscounting_linear"
      ]
    },
    {
      "page": "ans_dd",
      "title": "Converts answers from 5.5 trial delay discounting from Qualtrics template",
      "topics": [
        "ans_dd"
      ]
    },
    {
      "page": "ans_pd",
      "title": "Converts answers from 5.5 trial probability discounting from Qualtrics template",
      "topics": [
        "ans_pd"
      ]
    },
    {
      "page": "augment.beezdiscounting_choice",
      "title": "Augment a beezdiscounting_choice model",
      "topics": [
        "augment.beezdiscounting_choice"
      ]
    },
    {
      "page": "augment.beezdiscounting_tmb",
      "title": "Augment a beezdiscounting_tmb model",
      "topics": [
        "augment.beezdiscounting_tmb"
      ]
    },
    {
      "page": "beezdiscounting_linear-methods",
      "title": "Methods for linearized Mazur fits",
      "topics": [
        "augment.beezdiscounting_linear",
        "beezdiscounting_linear-methods",
        "coef.beezdiscounting_linear",
        "confint.beezdiscounting_linear",
        "glance.beezdiscounting_linear",
        "logLik.beezdiscounting_linear",
        "nobs.beezdiscounting_linear",
        "predict.beezdiscounting_linear",
        "print.beezdiscounting_linear",
        "print.summary.beezdiscounting_linear",
        "summary.beezdiscounting_linear",
        "tidy.beezdiscounting_linear"
      ]
    },
    {
      "page": "calc_aucs",
      "title": "Calculate Area-Under-the-Curve (AUC) Metrics for Delay Discounting Data",
      "topics": [
        "calc_aucs"
      ]
    },
    {
      "page": "calc_conf_int",
      "title": "Calculate Confidence Intervals for a Parameter",
      "topics": [
        "calc_conf_int"
      ]
    },
    {
      "page": "calc_dd",
      "title": "Calculate scores, answers, and timing for 5.5 trial delay discounting from Qualtrics template",
      "topics": [
        "calc_dd"
      ]
    },
    {
      "page": "calc_pd",
      "title": "Calculate scores, answers, and timing for 5.5 trial probability discounting from Qualtrics template",
      "topics": [
        "calc_pd"
      ]
    },
    {
      "page": "calc_r2",
      "title": "Calculate R-Squared for a Model",
      "topics": [
        "calc_r2"
      ]
    },
    {
      "page": "check_unsystematic",
      "title": "Check for Unsystematic Data Violations",
      "topics": [
        "check_unsystematic"
      ]
    },
    {
      "page": "coef.beezdiscounting_choice",
      "title": "Extract coefficients from a structural choice model",
      "topics": [
        "coef.beezdiscounting_choice"
      ]
    },
    {
      "page": "coef.beezdiscounting_tmb",
      "title": "Extract coefficients from a TMB discounting model",
      "topics": [
        "coef.beezdiscounting_tmb"
      ]
    },
    {
      "page": "confint.beezdiscounting_brms",
      "title": "Credible intervals for a beezdiscounting_brms model",
      "topics": [
        "confint.beezdiscounting_brms"
      ]
    },
    {
      "page": "confint.beezdiscounting_choice",
      "title": "Confidence intervals for a structural choice discounting model",
      "topics": [
        "confint.beezdiscounting_choice"
      ]
    },
    {
      "page": "confint.beezdiscounting_choice_brms",
      "title": "Credible intervals for a beezdiscounting_choice_brms model",
      "topics": [
        "confint.beezdiscounting_choice_brms"
      ]
    },
    {
      "page": "confint.beezdiscounting_tmb",
      "title": "Confidence intervals for a TMB discounting model",
      "topics": [
        "confint.beezdiscounting_tmb"
      ]
    },
    {
      "page": "dd_ip",
      "title": "Delay Discounting Data",
      "topics": [
        "dd_ip"
      ]
    },
    {
      "page": "default_dd_choice_priors",
      "title": "Default priors for the Bayesian (brms) choice model",
      "topics": [
        "default_dd_choice_priors"
      ]
    },
    {
      "page": "default_dd_priors",
      "title": "Default priors for Bayesian (brms) delay-discounting models",
      "topics": [
        "default_dd_priors"
      ]
    },
    {
      "page": "find_n_discounting",
      "title": "Find the smallest sample size reaching a target power (discounting)",
      "concept": [
        "power-analysis"
      ],
      "topics": [
        "find_n_discounting"
      ]
    },
    {
      "page": "fit_dd",
      "title": "Fit Delay-Discounting Model",
      "topics": [
        "fit_dd"
      ]
    },
    {
      "page": "fit_dd_brms",
      "title": "Fit a Bayesian Mixed-Effects Discounting Model via brms",
      "topics": [
        "fit_dd_brms"
      ]
    },
    {
      "page": "fit_dd_choice",
      "title": "Fit a trial-level SS-vs-LL choice model (binomial GLMM) via TMB",
      "topics": [
        "fit_dd_choice"
      ]
    },
    {
      "page": "fit_dd_choice_brms",
      "title": "Fit a Bayesian Structural Choice Discounting Model via brms",
      "topics": [
        "fit_dd_choice_brms"
      ]
    },
    {
      "page": "fit_dd_linear",
      "title": "Fit the linearized Mazur hyperbola (Hinds et al., 2026)",
      "topics": [
        "fit_dd_linear"
      ]
    },
    {
      "page": "fit_dd_tmb",
      "title": "Fit an indifference-point mixed-effects discounting model via TMB",
      "topics": [
        "fit_dd_tmb"
      ]
    },
    {
      "page": "fitted.beezdiscounting_choice",
      "title": "Fitted values for a beezdiscounting_choice fit",
      "topics": [
        "fitted.beezdiscounting_choice"
      ]
    },
    {
      "page": "fitted.beezdiscounting_tmb",
      "title": "Fitted values for a beezdiscounting_tmb fit",
      "topics": [
        "fitted.beezdiscounting_tmb"
      ]
    },
    {
      "page": "five.fivetrial_dd",
      "title": "Example Qualtrics output from the 5.5 trial delay discounting template.",
      "topics": [
        "five.fivetrial_dd"
      ]
    },
    {
      "page": "five.fivetrial_pd",
      "title": "Example Qualtrics output from the 5.5 trial probability discounting template.",
      "topics": [
        "five.fivetrial_pd"
      ]
    },
    {
      "page": "fixef.beezdiscounting_choice",
      "title": "Extract fixed effects from a structural choice model",
      "topics": [
        "fixef.beezdiscounting_choice"
      ]
    },
    {
      "page": "fixef.beezdiscounting_tmb",
      "title": "Extract fixed effects from a TMB discounting model",
      "topics": [
        "fixef.beezdiscounting_tmb"
      ]
    },
    {
      "page": "generate_data_mcq",
      "title": "Generate fake MCQ data",
      "topics": [
        "generate_data_mcq"
      ]
    },
    {
      "page": "get_dd_comparisons",
      "title": "Factor-level comparisons of the discount rate 'k'",
      "topics": [
        "get_dd_comparisons"
      ]
    },
    {
      "page": "get_dd_param_emms",
      "title": "Estimated marginal means of the discount rate 'k'",
      "topics": [
        "get_dd_param_emms"
      ]
    },
    {
      "page": "get_lookup_table",
      "title": "Get an internal instrument design table",
      "topics": [
        "get_lookup_table"
      ]
    },
    {
      "page": "glance.beezdiscounting_brms",
      "title": "Glance at a beezdiscounting_brms model",
      "topics": [
        "glance.beezdiscounting_brms"
      ]
    },
    {
      "page": "glance.beezdiscounting_choice",
      "title": "Glance at a beezdiscounting_choice model",
      "topics": [
        "glance.beezdiscounting_choice"
      ]
    },
    {
      "page": "glance.beezdiscounting_choice_brms",
      "title": "Glance at a beezdiscounting_choice_brms model",
      "topics": [
        "glance.beezdiscounting_choice_brms"
      ]
    },
    {
      "page": "glance.beezdiscounting_tmb",
      "title": "Glance at a beezdiscounting_tmb model",
      "topics": [
        "glance.beezdiscounting_tmb"
      ]
    },
    {
      "page": "long_to_wide_mcq",
      "title": "Reshape MCQ data long to wide",
      "topics": [
        "long_to_wide_mcq"
      ]
    },
    {
      "page": "long_to_wide_mcq_excel",
      "title": "Reshape MCQ data from long to wide (as used in the 21- and 27-Item Monetary Choice Questionnaire Automated Scorer)",
      "topics": [
        "long_to_wide_mcq_excel"
      ]
    },
    {
      "page": "mcq_to_choice",
      "title": "Convert 27- or 21-item MCQ responses to a trial-level choice frame",
      "topics": [
        "mcq_to_choice"
      ]
    },
    {
      "page": "mcq21",
      "title": "Example 21-item MCQ data",
      "topics": [
        "mcq21"
      ]
    },
    {
      "page": "mcq27",
      "title": "Example 27-item MCQ data",
      "topics": [
        "mcq27"
      ]
    },
    {
      "page": "mcq27_to_choice",
      "title": "Convert 27-item MCQ responses to a trial-level choice frame",
      "topics": [
        "mcq27_to_choice"
      ]
    },
    {
      "page": "pdq",
      "title": "Example 30-item PDQ data",
      "topics": [
        "pdq"
      ]
    },
    {
      "page": "pdq_to_choice",
      "title": "Convert PDQ responses to a trial-level choice frame",
      "topics": [
        "pdq_to_choice"
      ]
    },
    {
      "page": "plot_dd",
      "title": "Plot Delay-Discounting Model",
      "topics": [
        "plot_dd"
      ]
    },
    {
      "page": "plot_qq.beezdiscounting",
      "title": "Random-effect normal QQ plots for discounting models",
      "topics": [
        "plot_qq.beezdiscounting",
        "plot_qq.beezdiscounting_choice",
        "plot_qq.beezdiscounting_tmb"
      ]
    },
    {
      "page": "plot.beezdiscounting_brms",
      "title": "Plot a Bayesian (brms) indifference-point discounting model",
      "topics": [
        "plot.beezdiscounting_brms"
      ]
    },
    {
      "page": "plot.beezdiscounting_choice",
      "title": "Plot a choice-based discounting model",
      "topics": [
        "plot.beezdiscounting_choice"
      ]
    },
    {
      "page": "plot.beezdiscounting_choice_brms",
      "title": "Plot a Bayesian (brms) choice-based discounting model",
      "topics": [
        "plot.beezdiscounting_choice_brms"
      ]
    },
    {
      "page": "plot.beezdiscounting_comparison",
      "title": "Plot group differences in discount rate",
      "topics": [
        "plot.beezdiscounting_comparison"
      ]
    },
    {
      "page": "plot.beezdiscounting_linear",
      "title": "Plot a linearized Mazur discounting fit",
      "topics": [
        "plot.beezdiscounting_linear"
      ]
    },
    {
      "page": "plot.beezdiscounting_tmb",
      "title": "Plot a mixed-effects discounting model",
      "topics": [
        "plot.beezdiscounting_tmb"
      ]
    },
    {
      "page": "plot.prop_sc_output",
      "title": "Plot Proportion of Guaranteed Choices by h Rank",
      "topics": [
        "plot.prop_sc_output"
      ]
    },
    {
      "page": "plot.prop_ss_output",
      "title": "Plot Proportion of SIR/SS Choices by k Value",
      "topics": [
        "plot.prop_ss_output"
      ]
    },
    {
      "page": "plot.score_mcq_output",
      "title": "Plot MCQ Scores",
      "topics": [
        "plot.score_mcq_output"
      ]
    },
    {
      "page": "plot.score_mcq27_output",
      "title": "Plot MCQ-27 Scores",
      "topics": [
        "plot.score_mcq27_output"
      ]
    },
    {
      "page": "plot.score_pdq_output",
      "title": "Plot PDQ Scores",
      "topics": [
        "plot.score_pdq_output"
      ]
    },
    {
      "page": "power_discounting",
      "title": "Monte Carlo power analysis for between-subject discounting designs",
      "concept": [
        "power-analysis"
      ],
      "topics": [
        "power_discounting"
      ]
    },
    {
      "page": "predict.beezdiscounting_brms",
      "title": "Predict from a beezdiscounting_brms model",
      "topics": [
        "predict.beezdiscounting_brms"
      ]
    },
    {
      "page": "predict.beezdiscounting_choice",
      "title": "Predict from a structural choice discounting model",
      "topics": [
        "predict.beezdiscounting_choice"
      ]
    },
    {
      "page": "predict.beezdiscounting_choice_brms",
      "title": "Predict P(LL) from a beezdiscounting_choice_brms model",
      "topics": [
        "predict.beezdiscounting_choice_brms"
      ]
    },
    {
      "page": "predict.beezdiscounting_tmb",
      "title": "Predict from a TMB mixed-effects discounting model",
      "topics": [
        "predict.beezdiscounting_tmb"
      ]
    },
    {
      "page": "print.beezdiscounting_choice",
      "title": "Print a structural choice discounting fit",
      "topics": [
        "print.beezdiscounting_choice"
      ]
    },
    {
      "page": "print.beezdiscounting_tmb",
      "title": "Print a TMB mixed-effects discounting fit",
      "topics": [
        "print.beezdiscounting_tmb"
      ]
    },
    {
      "page": "print.summary.beezdiscounting_choice",
      "title": "Print a structural choice discounting model summary",
      "topics": [
        "print.summary.beezdiscounting_choice"
      ]
    },
    {
      "page": "print.summary.beezdiscounting_tmb",
      "title": "Print a TMB discounting model summary",
      "topics": [
        "print.summary.beezdiscounting_tmb"
      ]
    },
    {
      "page": "prop_sc",
      "title": "Calculate proportion of guaranteed choices at each PDQ h rank",
      "topics": [
        "prop_sc"
      ]
    },
    {
      "page": "prop_ss",
      "title": "Calculate proportion of SIR/SS responses at each k value",
      "topics": [
        "prop_ss"
      ]
    },
    {
      "page": "ranef.beezdiscounting_choice",
      "title": "Extract subject-level random effects from a choice model",
      "topics": [
        "ranef.beezdiscounting_choice"
      ]
    },
    {
      "page": "ranef.beezdiscounting_tmb",
      "title": "Extract subject-level random effects from a TMB discounting model",
      "topics": [
        "ranef.beezdiscounting_tmb"
      ]
    },
    {
      "page": "residuals.beezdiscounting_choice",
      "title": "Residuals for a beezdiscounting_choice fit",
      "topics": [
        "residuals.beezdiscounting_choice"
      ]
    },
    {
      "page": "residuals.beezdiscounting_tmb",
      "title": "Residuals for a beezdiscounting_tmb fit",
      "topics": [
        "residuals.beezdiscounting_tmb"
      ]
    },
    {
      "page": "results_dd",
      "title": "Extract Results from Delay-Discounting Model",
      "topics": [
        "results_dd"
      ]
    },
    {
      "page": "score_dd",
      "title": "Score 5.5 trial delay discounting from Qualtrics template",
      "topics": [
        "score_dd"
      ]
    },
    {
      "page": "score_mcq",
      "title": "Score an MCQ (27- or 21-item)",
      "topics": [
        "score_mcq"
      ]
    },
    {
      "page": "score_mcq27",
      "title": "Score 27-item MCQ",
      "topics": [
        "score_mcq27"
      ]
    },
    {
      "page": "score_pd",
      "title": "Score 5.5 trial probability discounting from Qualtrics template",
      "topics": [
        "score_pd"
      ]
    },
    {
      "page": "score_pdq",
      "title": "Score the 30-item Probability Discounting Questionnaire (PDQ)",
      "topics": [
        "score_pdq"
      ]
    },
    {
      "page": "simulate_dd_choice",
      "title": "Simulate trial-level SS-vs-LL choice data",
      "topics": [
        "simulate_dd_choice"
      ]
    },
    {
      "page": "simulate_dd_ip",
      "title": "Simulate IP-family mixed-effects discounting data",
      "topics": [
        "simulate_dd_ip"
      ]
    },
    {
      "page": "simulate_dd_linear",
      "title": "Simulate indifference points from the linearized Mazur random-effects model",
      "topics": [
        "simulate_dd_linear"
      ]
    },
    {
      "page": "summarize_mcq",
      "title": "Provide a summary of the results from the MCQ output table.",
      "topics": [
        "summarize_mcq"
      ]
    },
    {
      "page": "summary.beezdiscounting_brms",
      "title": "Summarize a beezdiscounting_brms model",
      "topics": [
        "summary.beezdiscounting_brms"
      ]
    },
    {
      "page": "summary.beezdiscounting_choice",
      "title": "Summarize a structural choice discounting fit",
      "topics": [
        "summary.beezdiscounting_choice"
      ]
    },
    {
      "page": "summary.beezdiscounting_choice_brms",
      "title": "Summarize a beezdiscounting_choice_brms model",
      "topics": [
        "summary.beezdiscounting_choice_brms"
      ]
    },
    {
      "page": "summary.beezdiscounting_tmb",
      "title": "Summarize a TMB mixed-effects discounting fit",
      "topics": [
        "summary.beezdiscounting_tmb"
      ]
    },
    {
      "page": "tidy.beezdiscounting_brms",
      "title": "Tidy a beezdiscounting_brms model",
      "topics": [
        "tidy.beezdiscounting_brms"
      ]
    },
    {
      "page": "tidy.beezdiscounting_choice",
      "title": "Tidy a beezdiscounting_choice model into a coefficient tibble",
      "topics": [
        "tidy.beezdiscounting_choice"
      ]
    },
    {
      "page": "tidy.beezdiscounting_choice_brms",
      "title": "Tidy a beezdiscounting_choice_brms model",
      "topics": [
        "tidy.beezdiscounting_choice_brms"
      ]
    },
    {
      "page": "tidy.beezdiscounting_comparison",
      "title": "Tidy a discounting comparison into a flat contrasts frame",
      "topics": [
        "tidy.beezdiscounting_comparison"
      ]
    },
    {
      "page": "tidy.beezdiscounting_tmb",
      "title": "Tidy a beezdiscounting_tmb model into a coefficient tibble",
      "topics": [
        "tidy.beezdiscounting_tmb"
      ]
    },
    {
      "page": "timing_dd",
      "title": "Extract timing metrics from 5.5 trial delay discounting from Qualtrics template",
      "topics": [
        "timing_dd"
      ]
    },
    {
      "page": "timing_pd",
      "title": "Extract timing metrics from 5.5 trial probability discounting from Qualtrics template",
      "topics": [
        "timing_pd"
      ]
    },
    {
      "page": "VarCorr.beezdiscounting_choice",
      "title": "Random-effect (co)variances for a beezdiscounting_choice fit",
      "topics": [
        "VarCorr.beezdiscounting_choice"
      ]
    },
    {
      "page": "VarCorr.beezdiscounting_tmb",
      "title": "Random-effect covariance for a TMB discounting model",
      "topics": [
        "VarCorr.beezdiscounting_tmb"
      ]
    },
    {
      "page": "wide_to_long_mcq",
      "title": "Reshape MCQ data wide to long",
      "topics": [
        "wide_to_long_mcq"
      ]
    },
    {
      "page": "wide_to_long_mcq_excel",
      "title": "Reshape MCQ data from wide (as used in the 21- and 27-Item Monetary Choice Questionnaire Automated Scorer) to long",
      "topics": [
        "wide_to_long_mcq_excel"
      ]
    }
  ],
  "_pkglogo": "https://github.com/brentkaplan/beezdiscounting/raw/develop/man/figures/logo.png",
  "_readme": "https://github.com/brentkaplan/beezdiscounting/raw/develop/README.md",
  "_rundeps": [
    "backports",
    "bayestestR",
    "beezdemand",
    "boot",
    "broom",
    "cli",
    "cpp11",
    "datawizard",
    "digest",
    "dplyr",
    "emmeans",
    "estimability",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "GPArotation",
    "gtable",
    "gtools",
    "insight",
    "isoband",
    "labeling",
    "lattice",
    "lhs",
    "lifecycle",
    "lme4",
    "magrittr",
    "MASS",
    "Matrix",
    "minpack.lm",
    "minqa",
    "mnormt",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nls.multstart",
    "nlsr",
    "nlstools",
    "numDeriv",
    "optimx",
    "performance",
    "pillar",
    "pkgconfig",
    "pracma",
    "psych",
    "purrr",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "TMB",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "bayesian-discounting.Rmd",
      "filename": "bayesian-discounting.html",
      "title": "Bayesian discounting models with brms",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Indifference points",
        "Families and boundaries",
        "Priors",
        "Trial-level choice",
        "Reading Bayesian output",
        "v1 scope"
      ],
      "created": "2026-06-11 03:53:11",
      "modified": "2026-08-26 23:45:58",
      "commits": 11
    },
    {
      "source": "dd-group-comparisons.Rmd",
      "filename": "dd-group-comparisons.html",
      "title": "Comparing discounting rates between groups",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Simulate a two-group study",
        "Fit with a factor design on log k",
        "Estimated marginal means of k",
        "Contrasts",
        "Visualizing the contrasts",
        "Trial-level choice models",
        "The Bayesian analogs",
        "Which backend when"
      ],
      "created": "2026-06-11 23:23:06",
      "modified": "2026-08-26 23:45:58",
      "commits": 4
    },
    {
      "source": "choice-discounting.Rmd",
      "filename": "choice-discounting.html",
      "title": "Discounting from trial-level choices",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Data format",
        "Structural model",
        "Descriptive model (Young, 2018)",
        "S3 methods",
        "From the 27-item MCQ to choices",
        "Indifference points and choices agree",
        "Where to go next",
        "References"
      ],
      "created": "2026-06-18 02:17:46",
      "modified": "2026-06-18 15:28:17",
      "commits": 2
    },
    {
      "source": "delay-discounting-basics.Rmd",
      "filename": "delay-discounting-basics.html",
      "title": "Getting started: indifference points, k, and AUC",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Indifference points",
        "Screening for unsystematic data",
        "Fitting a discounting model",
        "Area under the curve",
        "Working at scale",
        "Where to go next",
        "References"
      ],
      "created": "2026-06-17 02:01:03",
      "modified": "2026-06-17 02:01:03",
      "commits": 1
    },
    {
      "source": "tmb-mixed-effects.Rmd",
      "filename": "tmb-mixed-effects.html",
      "title": "Mixed-effects discounting with TMB",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Why TMB",
        "Some data",
        "Fitting a model",
        "Inspecting the fit",
        "Subject-level rates",
        "Predictions",
        "Diagnostics",
        "Choosing an equation",
        "Beyond one group and one random effect",
        "Practical notes",
        "Relationship to Young (2017)",
        "See also",
        "References"
      ],
      "created": "2026-06-17 02:01:03",
      "modified": "2026-08-26 23:45:58",
      "commits": 5
    },
    {
      "source": "sltb-discounting.Rmd",
      "filename": "sltb-discounting.html",
      "title": "Modeling delay-discounting indifference points with bounded error distributions",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Why indifference points need a bounded error distribution",
        "What the SLT-beta density is",
        "The boundary problem, in the example data",
        "Fitting the mixed-effects model",
        "Choosing a family",
        "How much to trust it",
        "References"
      ],
      "created": "2026-06-07 07:51:48",
      "modified": "2026-08-26 23:45:58",
      "commits": 5
    },
    {
      "source": "power-analysis.Rmd",
      "filename": "power-analysis.html",
      "title": "Power Analysis for Between-Subject Discounting Designs",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Why simulation-based power?",
        "Estimating power at a fixed sample size",
        "Searching for a sample size",
        "Sensitivity to the assumed effect size",
        "How many replicates do you need?",
        "Validity and Limitations"
      ],
      "created": "2026-08-15 18:16:20",
      "modified": "2026-08-26 23:45:58",
      "commits": 3
    },
    {
      "source": "fivetrial-task.Rmd",
      "filename": "fivetrial-task.html",
      "title": "Scoring the 5.5-trial discounting task",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "A one-minute discounting task",
        "The raw data",
        "Scoring delay discounting",
        "Response times",
        "Scoring probability discounting",
        "References"
      ],
      "created": "2026-06-17 02:01:03",
      "modified": "2026-06-17 02:01:03",
      "commits": 1
    },
    {
      "source": "mcq27-scoring.Rmd",
      "filename": "mcq27-scoring.html",
      "title": "Scoring the Monetary Choice Questionnaire (21- and 27-Item)",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The questionnaire",
        "Data format",
        "Scoring",
        "A magnitude effect",
        "Summarizing a sample",
        "A model-free look at the choice gradient",
        "Converting between layouts",
        "Handling missing responses",
        "From choices to trial-level data",
        "Scoring the 21-item MCQ",
        "References"
      ],
      "created": "2026-06-17 02:01:03",
      "modified": "2026-08-08 16:40:45",
      "commits": 2
    },
    {
      "source": "pdq-scoring.Rmd",
      "filename": "pdq-scoring.html",
      "title": "Scoring the Probability Discounting Questionnaire (PDQ)",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Scoring",
        "Proportions by h rank",
        "Trial-level modeling bridge",
        "The item design",
        "References"
      ],
      "created": "2026-08-09 20:29:07",
      "modified": "2026-08-26 23:45:58",
      "commits": 3
    },
    {
      "source": "linearized-mazur.Rmd",
      "filename": "linearized-mazur.html",
      "title": "The linearized Mazur hyperbola: closed-form k and an F-test for conditions",
      "author": "Brent Kaplan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The transform",
        "Simulate a three-condition study",
        "Fit and inspect",
        "Comparing conditions",
        "Indifference points at 0 or 1",
        "Figures",
        "How this relates to the nonlinear fit",
        "Where to go next",
        "References"
      ],
      "created": "2026-08-26 23:45:58",
      "modified": "2026-08-27 14:25:26",
      "commits": 2
    }
  ],
  "_score": 6.271841606536499,
  "_indexed": true,
  "_nocasepkg": "beezdiscounting",
  "_universes": [
    "brentkaplan"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:58:36.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/43db3db049285679102421cb37b5f630b04a5cc2913d654727a0dd35a067fa4c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:59:11.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/ec9b8fb7c1085c26460eee8a98daf53ad9e918bc54a4c64fd2d627df6a00cdb2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:58:30.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/370d5b1f386ff526e3e29a58e4e6cd45d6917bab7867c969c843c306008ad6fc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:58:22.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/fba8ddf548c8657382ecb5a6f57e02dfc0a54a508f713e5fe47ab41dc53e5ccc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.4.0.9000",
      "date": "2026-10-17T11:06:33.000Z",
      "arch": "aarch64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/6755aaf8967ff4a8e217b67ea0738bd4653a9a1d03aa813b536f1731e50f57b9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.4.0.9000",
      "date": "2026-10-17T11:01:50.000Z",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/a43a48ed7b7f0de398814dc516107929a3f0824fb21babbb9db23f2c7d605d64",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.4.0.9000",
      "date": "2026-10-17T11:00:20.000Z",
      "arch": "aarch64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/a5eedf091a87f48628d4007b5b5022093f53bcd4b75a85a91adc35b11963c23d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.4.0.9000",
      "date": "2026-10-17T11:02:24.000Z",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/14ef2dd1d379fa394acf4d6669cc7ddab11ca1c4010b014d3011f328d096f891",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:58:31.000Z",
      "arch": "emscripten",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/e090e95d7c7c26cc43781d432e7531b31a4060e0f7a3aec5fba5e8a9e4ffd7e6",
      "status": "success",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.4.0.9000",
      "date": "2026-10-17T11:01:47.000Z",
      "arch": "aarch64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/67e5111f7e3b7fb6fe5628adc28fc64aa90ea4c7b8b6af327dbde4aba44bce30",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:58:02.000Z",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/c0387a339dde8b61253d9517880c8e85c6dc45ae9a6e366967ad03f3c58234df",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:57:39.000Z",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/d5d9e549f1021d7b506f9931545812f4e4516f0b33a8fd7ba149bda5632b1cfd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.4.0.9000",
      "date": "2026-10-17T11:02:14.000Z",
      "arch": "aarch64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/1aaaf4992436368c0ca4aca87b055adee375453d2a42e1655aa173575ce98327",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.4.0.9000",
      "date": "2026-10-17T10:57:39.000Z",
      "arch": "x86_64",
      "commit": "d76271a7c6e17d2ba8badf4e2352ebf85f0e868a",
      "fileid": "https://r2.ropensci.org/c4144e12d47e7e96e567489043ee416debbc318aa221df2f18ad2d119068f3a1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/brentkaplan/actions/runs/39026356728"
    }
  ]
}