{
  "_id": "6a1ef32fb401979e73415141",
  "Package": "LSTbook",
  "Title": "Data and Software for \"Lessons in Statistical Thinking\"",
  "Version": "0.6.1.91001",
  "Authors@R": "c(\nperson(given = \"Daniel\", family = \"Kaplan\", email = \"dtkaplan@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Randall\", family = \"Pruim\", email = \"rpruim@calvin.edu\", role = \"aut\") )",
  "Description": "\"Lessons in Statistical Thinking\" D.T. Kaplan (2014)\n<https://dtkaplan.github.io/Lessons-in-statistical-thinking/>\nis a textbook for a first or second course in statistics that\nembraces data wrangling, causal reasoning, modeling,\nstatistical adjustment, and simulation. 'LSTbook' supports the\nstudent-centered, tidy, pipeline-oriented computing style\nfeatured in the book.",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "LazyDataCompression": "xz",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.2.1",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/dtkaplan/LSTbook",
  "BugReports": "https://github.com/dtkaplan/LSTbook/issues",
  "License": "MIT + file LICENSE",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://homerhanumat.r-universe.dev",
  "Date/Publication": "2025-04-30 10:04:10 UTC",
  "RemoteUrl": "https://github.com/homerhanumat/LSTbook",
  "RemoteRef": "HEAD",
  "RemoteSha": "d575d03ae3162916efb43de70d5ecea3176437af",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-19 07:36:36 UTC",
    "User": "root"
  },
  "Author": "Daniel Kaplan [aut, cre],\nRandall Pruim [aut]",
  "Maintainer": "Daniel Kaplan <dtkaplan@gmail.com>",
  "MD5sum": "6c926db77a5fba6cedfcc6d529aeaa8f",
  "_user": "homerhanumat",
  "_type": "src",
  "_file": "LSTbook_0.6.1.91001.tar.gz",
  "_fileid": "7154c1044d10d48b9d82bd5e946ef37047f02beb70ba076bc1cdc46aadfdbcf6",
  "_filesize": 4124211,
  "_sha256": "7154c1044d10d48b9d82bd5e946ef37047f02beb70ba076bc1cdc46aadfdbcf6",
  "_created": "2026-05-19T07:36:36.000Z",
  "_published": "2026-06-02T15:13:51.558Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79104794181,
      "time": 172,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "ERROR",
      "artifact": "7077572343"
    },
    {
      "job": 79104793918,
      "time": 218,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7077586168"
    },
    {
      "job": 79104794097,
      "time": 186,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "ERROR",
      "artifact": "7077576156"
    },
    {
      "job": 79104794303,
      "time": 180,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7077574391"
    },
    {
      "job": 79104793238,
      "time": 191,
      "config": "source",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7077517298"
    },
    {
      "job": 79104793266,
      "time": 129,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7361848591"
    },
    {
      "job": 79104794050,
      "time": 140,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "ERROR",
      "artifact": "7077562805"
    },
    {
      "job": 79104795216,
      "time": 169,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "ERROR",
      "artifact": "7077572373"
    },
    {
      "job": 79104794578,
      "time": 115,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "7077554867"
    }
  ],
  "_buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774",
  "_status": "failure",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/homerhanumat/LSTbook",
  "_commit": {
    "id": "d575d03ae3162916efb43de70d5ecea3176437af",
    "author": "Homer White <homerhanumat@gmail.com>",
    "committer": "Homer White <homerhanumat@gmail.com>",
    "message": "enhance loadability in web assembly\n",
    "time": 1746007450
  },
  "_maintainer": {
    "name": "Daniel Kaplan",
    "email": "dtkaplan@gmail.com",
    "login": "dtkaplan",
    "description": "",
    "uuid": 532653
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.4.4",
      "role": "Imports"
    },
    {
      "package": "broom",
      "role": "Imports"
    },
    {
      "package": "glue",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "stringi",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "role": "Suggests"
    },
    {
      "package": "stringdist",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    }
  ],
  "_owner": "homerhanumat",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "dtkaplan",
      "count": 128,
      "uuid": 532653
    },
    {
      "user": "homerhanumat",
      "count": 4,
      "uuid": 5505653
    }
  ],
  "_userbio": {
    "uuid": 5505653,
    "type": "user",
    "name": "Homer White",
    "description": "Professor of Mathematics and Computer Science at a small liberal arts college in Kentucky, USA."
  },
  "_downloads": {
    "count": 277,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/LSTbook"
  },
  "_devurl": "https://github.com/dtkaplan/lstbook",
  "_searchresults": 49,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/LSTbook.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/dtkaplan/lstbook",
  "_realowner": "dtkaplan",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.5.0",
      "date": "2024-02-23"
    },
    {
      "version": "0.6",
      "date": "2024-12-07"
    }
  ],
  "_exports": [
    "add_plot_labels",
    "add_slope_rose",
    "add_violin_ruler",
    "anova_summary",
    "bernoulli",
    "block_by",
    "cat2value",
    "categorical",
    "conf_interval",
    "dag_draw",
    "datasim_intervene",
    "datasim_make",
    "datasim_run",
    "each",
    "label_zero_one",
    "mix_with",
    "model_eval",
    "model_plot",
    "model_skeleton",
    "model_train",
    "model_values",
    "ntiles",
    "point_plot",
    "R2",
    "random_levels",
    "random_terms",
    "regression_summary",
    "resample",
    "take_sample",
    "trials",
    "zero_one"
  ],
  "_datasets": [
    {
      "name": "AAUP",
      "title": "1984 salaries in various professional fields",
      "object": "AAUP",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subject",
        "acsal",
        "fem",
        "unemp",
        "nonac",
        "nonacsal",
        "licensed"
      ],
      "rows": 28,
      "table": true,
      "tojson": true
    },
    {
      "name": "Anthro_F",
      "title": "Anthropometric data from college-aged women",
      "object": "Anthro_F",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Weight",
        "Height",
        "BMI",
        "Age",
        "Neck",
        "Chest",
        "Calf",
        "Biceps",
        "Hips",
        "Waist",
        "Forearm",
        "PThigh",
        "MThigh",
        "DThigh",
        "Wrist",
        "Knee",
        "Elbow",
        "Ankle",
        "BFat"
      ],
      "rows": 184,
      "table": true,
      "tojson": true
    },
    {
      "name": "Big",
      "title": "Short, simple data frames for textbook examples",
      "object": "Book-examples",
      "class": [
        "data.frame"
      ],
      "fields": [
        "species",
        "mass",
        "flipper",
        "sex"
      ],
      "rows": 344,
      "table": true,
      "tojson": true
    },
    {
      "name": "Birdkeepers",
      "title": "Birdkeeping and Lung Cancer",
      "object": "Birdkeepers",
      "class": [
        "data.frame"
      ],
      "fields": [
        "LC",
        "FM",
        "SS",
        "BK",
        "AG",
        "YR",
        "CD"
      ],
      "rows": 147,
      "table": true,
      "tojson": true
    },
    {
      "name": "Births2022",
      "title": "Records on births in the US in 2022",
      "object": "Births2022",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "month",
        "dow",
        "place",
        "paternity",
        "meduc",
        "feduc",
        "married",
        "fage",
        "mage",
        "total_kids",
        "interval",
        "prenatal_start",
        "prenatal_visits",
        "mheight",
        "wt_pre",
        "wt_delivery",
        "diabetes_pre",
        "diabetes_gest",
        "hbp_pre",
        "hbp_gest",
        "eclampsia",
        "induction",
        "augmentation",
        "anesthesia",
        "presentation",
        "method",
        "trial_at_labor",
        "attendant",
        "payment",
        "apgar5",
        "apgar10",
        "plurality",
        "sex",
        "duration",
        "menses",
        "weight",
        "living",
        "breastfed"
      ],
      "rows": 20000,
      "table": true,
      "tojson": true
    },
    {
      "name": "Boston_marathon",
      "title": "Winning times in the Boston Marathon",
      "object": "Boston_marathon",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year",
        "name",
        "country",
        "time",
        "sex",
        "minutes"
      ],
      "rows": 175,
      "table": true,
      "tojson": true
    },
    {
      "name": "Butterfly",
      "title": "World records in the 100 & 200 m butterfly swim",
      "object": "Butterfly",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "swimmer",
        "date",
        "place",
        "sex",
        "lengths",
        "dist"
      ],
      "rows": 224,
      "table": true,
      "tojson": true
    },
    {
      "name": "Calif_precip",
      "title": "Annual precipitation in California locations",
      "object": "Calif_precip",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "station",
        "precip",
        "altitude",
        "latitude",
        "distance",
        "orientation"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "Callback",
      "title": "Resume Experiment Data",
      "object": "Callback",
      "class": [
        "data.frame"
      ],
      "fields": [
        "name",
        "sex",
        "callback"
      ],
      "rows": 4870,
      "table": true,
      "tojson": true
    },
    {
      "name": "Clock_auction",
      "title": "Data from McClave-Sincich _Statistics_ 11/e",
      "object": "Clock_auction",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "bidders",
        "price"
      ],
      "rows": 32,
      "table": true,
      "tojson": true
    },
    {
      "name": "CRDS",
      "title": "Smoking and lung function among youths",
      "object": "CRDS",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "FEV",
        "height",
        "sex",
        "smoker"
      ],
      "rows": 654,
      "table": true,
      "tojson": true
    },
    {
      "name": "Dowsing",
      "title": "Data from McClave-Sincich _Statistics_ 11/e",
      "object": "Dowsing",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "trial",
        "subject",
        "pipe",
        "guess"
      ],
      "rows": 26,
      "table": true,
      "tojson": true
    },
    {
      "name": "Econ_outlook_poll",
      "title": "SIMULATED data from an economic outlook poll",
      "object": "Econ_outlook_poll",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "income",
        "pessimism"
      ],
      "rows": 10000,
      "table": true,
      "tojson": true
    },
    {
      "name": "FARS",
      "title": "Annual summaries concerning motor-vehicle related fatalities in the US#'",
      "object": "FARS",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "crashes",
        "drivers",
        "passengers",
        "unknown",
        "motorcyclists",
        "pedestrians",
        "pedalcyclists",
        "other_nonvehicle",
        "vehicle_miles",
        "population",
        "registered_vehicles",
        "licensed_drivers"
      ],
      "rows": 23,
      "table": true,
      "tojson": true
    },
    {
      "name": "Framingham",
      "title": "Data from the Framingham heart study",
      "object": "Framingham",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "education",
        "currentSmoker",
        "cigsPerDay",
        "BPMeds",
        "prevalentStroke",
        "prevalentHyp",
        "diabetes",
        "totChol",
        "sysBP",
        "diaBP",
        "BMI",
        "heartRate",
        "glucose",
        "TenYearCHD",
        "sex"
      ],
      "rows": 4238,
      "table": true,
      "tojson": true
    },
    {
      "name": "Geography_journals",
      "title": "Data from McClave-Sincich _Statistics_ 11/e",
      "object": "Geography_journals",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "journal",
        "cost",
        "jif",
        "cites",
        "rpi"
      ],
      "rows": 28,
      "table": true,
      "tojson": true
    },
    {
      "name": "Germany1933vote",
      "title": "Voting patterns in the 1933 German national election",
      "object": "Germany1933vote",
      "class": [
        "data.frame"
      ],
      "fields": [
        "self",
        "blue",
        "white",
        "domestic",
        "unemployed",
        "nvoter",
        "nazivote"
      ],
      "rows": 681,
      "table": true,
      "tojson": true
    },
    {
      "name": "Gilbert",
      "title": "Data from the trial of serial killer Kristen Gilbert",
      "object": "Gilbert",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "death",
        "gilbert"
      ],
      "rows": 1641,
      "table": true,
      "tojson": true
    },
    {
      "name": "Go_vote",
      "title": "Get out the vote experiment",
      "object": "Go_vote",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sex",
        "yearofbirth",
        "primary2004",
        "messages",
        "primary2006",
        "hhsize"
      ],
      "rows": 305866,
      "table": true,
      "tojson": true
    },
    {
      "name": "Gradepoint",
      "title": "Sample from a college registrar's database",
      "object": "Registrar",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "grade",
        "gradepoint"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    },
    {
      "name": "Grades",
      "title": "Sample from a college registrar's database",
      "object": "Registrar",
      "class": [
        "data.frame"
      ],
      "fields": [
        "grade",
        "sessionID",
        "sid"
      ],
      "rows": 6124,
      "table": true,
      "tojson": true
    },
    {
      "name": "Hill_racing",
      "title": "Winning times in Scottish Hill races, 2005-2017",
      "object": "Hill_racing",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year",
        "sex",
        "name",
        "time",
        "race",
        "distance",
        "climb"
      ],
      "rows": 2236,
      "table": true,
      "tojson": true
    },
    {
      "name": "McCredie_Kurtz",
      "title": "\"Big Five\" personality ratings for college first-year students",
      "object": "McCredie_Kurtz",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subjid",
        "age",
        "m_extra",
        "f_extra",
        "m_agree",
        "f_agree",
        "m_cons",
        "f_cons",
        "m_neur",
        "f_neur",
        "m_open",
        "f_open",
        "GPA",
        "sex",
        "field"
      ],
      "rows": 191,
      "table": true,
      "tojson": true
    },
    {
      "name": "Monocacy_river",
      "title": "Data on run-off from the Monocacy river at Jug Bridge, Maryland.",
      "object": "Monocacy_river",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "precip",
        "runoff"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "MPG",
      "title": "Fuel economy measurements on US car models",
      "object": "MPG",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "manufacturer",
        "division",
        "model",
        "fuel_year",
        "CO2_year",
        "hybrid",
        "class",
        "doors",
        "vol_passenger",
        "vol_luggage",
        "displacement",
        "model_year",
        "transmission",
        "mpg_city",
        "mpg_hwy",
        "mpg_comb",
        "CO2city",
        "CO2hwy",
        "CO2combined",
        "regen",
        "valves_exhaust",
        "valves_intake",
        "start_stop",
        "cyl_deact",
        "vol_passengers2D",
        "vol_passengers4D",
        "vol_passengersH",
        "vol_luggage2D",
        "vol_luggage4D",
        "vol_luggageH",
        "fuel",
        "drive",
        "n_gears",
        "n_cyl",
        "lockup_torque_converter",
        "air_aspiration",
        "EPA_fuel_cost",
        "row",
        "hatchback"
      ],
      "rows": 1154,
      "table": true,
      "tojson": true
    },
    {
      "name": "Names_and_race",
      "title": "Resume Experiment Data",
      "object": "Callback",
      "class": [
        "grouped_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "firstname",
        "race"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    },
    {
      "name": "Natality_2014",
      "title": "Medical info on each birth in the US in 2014",
      "object": "Natality_2014",
      "class": [
        "data.frame"
      ],
      "fields": [
        "mager",
        "fagecomb",
        "ubfacil",
        "urf_diab",
        "urf_chyper",
        "urf_phyper",
        "urf_eclam",
        "uop_induc",
        "uld_breech",
        "ilive",
        "ab_aven1",
        "ab_aven6",
        "ab_nicu",
        "ab_surf",
        "ab_anti",
        "ab_seiz",
        "dbwt",
        "combgest",
        "sex",
        "dplural",
        "apgar5",
        "apgar10",
        "mtran",
        "pay",
        "mm_mtr",
        "mm_plac",
        "mm_rupt",
        "mm_uhyst",
        "mm_aicu",
        "me_pres",
        "me_rout",
        "ld_indl",
        "pwgt_r",
        "dwgt_r",
        "m_ht_in",
        "cig_0",
        "cig_1",
        "cig_2",
        "cig_3",
        "wic",
        "precare",
        "previs",
        "priorlive",
        "priordead",
        "priorterm"
      ],
      "rows": 10000,
      "table": true,
      "tojson": true
    },
    {
      "name": "Nats",
      "title": "Short, simple data frames for textbook examples",
      "object": "Book-examples",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "country",
        "year",
        "GDP",
        "pop"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "Offspring",
      "title": "Relative sizes offspring/parent for many species",
      "object": "Offspring",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "species",
        "class",
        "group",
        "adult",
        "hatchling"
      ],
      "rows": 3971,
      "table": true,
      "tojson": true
    },
    {
      "name": "Orings",
      "title": "Space Shuttle O-Ring Failures",
      "object": "Orings",
      "class": [
        "data.frame"
      ],
      "fields": [
        "temp",
        "incidents"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "Penguins",
      "title": "Body measurements on penguins",
      "object": "Penguins",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "species",
        "island",
        "bill_length",
        "bill_depth",
        "flipper",
        "mass",
        "sex",
        "year"
      ],
      "rows": 333,
      "table": true,
      "tojson": true
    },
    {
      "name": "PGA_index",
      "title": "Data from McClave-Sincich _Statistics_ 11/e",
      "object": "PGA_index",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "player",
        "dist",
        "accuracy",
        "index"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "PIDD",
      "title": "Pima Indians Diabetes Database",
      "object": "PIDD",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "pregnancies",
        "glucose",
        "BP",
        "skin_thickness",
        "insulin",
        "bmi",
        "pedigree",
        "age",
        "diabetes"
      ],
      "rows": 768,
      "table": true,
      "tojson": true
    },
    {
      "name": "Sessions",
      "title": "Sample from a college registrar's database",
      "object": "Registrar",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "sessionID",
        "iid",
        "enroll",
        "dept",
        "level",
        "sem"
      ],
      "rows": 1687,
      "table": true,
      "tojson": true
    },
    {
      "name": "Shipping_losses",
      "title": "Shipping losses in 1941 in the Atlantic",
      "object": "Shipping_losses",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "month",
        "nships",
        "tons",
        "country"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    },
    {
      "name": "sim_00",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_01",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_02",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_03",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_04",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_05",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_06",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_07",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_08",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_09",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_10",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_11",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_12",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_flights",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_medical_observations",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_prob_21.1",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_satgpa",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_school1",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_school2",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sim_vaccine",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "object": "simlib",
      "class": [
        "list",
        "datasim"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "STAR",
      "title": "STAR Project Data",
      "object": "STAR",
      "class": [
        "data.frame"
      ],
      "fields": [
        "race",
        "classtype",
        "yearssmall",
        "hsgrad",
        "g4math",
        "g4reading"
      ],
      "rows": 6292,
      "table": true,
      "tojson": true
    },
    {
      "name": "Tiny",
      "title": "Short, simple data frames for textbook examples",
      "object": "Book-examples",
      "class": [
        "data.frame"
      ],
      "fields": [
        "species",
        "mass",
        "flipper",
        "sex"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "UCB_applicants",
      "title": "Roster of applicants to six major departments at UC Berkeley",
      "object": "UCB_applicants",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "admit",
        "gender",
        "dept"
      ],
      "rows": 4526,
      "table": true,
      "tojson": true
    },
    {
      "name": "US_wildfires",
      "title": "Monthly tallies of wildfires in the US from 2000 to 2022",
      "object": "US_wildfires",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "date",
        "area",
        "number",
        "month"
      ],
      "rows": 275,
      "table": true,
      "tojson": true
    },
    {
      "name": "Wheat",
      "title": "Experimental data on the yield of winter wheat",
      "object": "Wheat",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "plot",
        "block",
        "genotype",
        "yield",
        "year"
      ],
      "rows": 168,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "AAUP",
      "title": "1984 salaries in various professional fields",
      "topics": [
        "AAUP"
      ]
    },
    {
      "page": "add_plot_labels",
      "title": "Convenience function for adding labels to point_plot or others without needing the ggplot2 + pipe.",
      "topics": [
        "add_plot_labels"
      ]
    },
    {
      "page": "statistical_annotations",
      "title": "Add a slope \"rose\" to a plot.",
      "topics": [
        "add_slope_rose",
        "add_violin_ruler"
      ]
    },
    {
      "page": "Anthro_F",
      "title": "Anthropometric data from college-aged women",
      "topics": [
        "Anthro_F"
      ]
    },
    {
      "page": "Birdkeepers",
      "title": "Birdkeeping and Lung Cancer",
      "topics": [
        "Birdkeepers"
      ]
    },
    {
      "page": "Births2022",
      "title": "Records on births in the US in 2022",
      "topics": [
        "Births2022"
      ]
    },
    {
      "page": "Boston_marathon",
      "title": "Winning times in the Boston Marathon",
      "topics": [
        "Boston_marathon"
      ]
    },
    {
      "page": "Butterfly",
      "title": "World records in the 100 & 200 m butterfly swim",
      "topics": [
        "Butterfly"
      ]
    },
    {
      "page": "Calif_precip",
      "title": "Annual precipitation in California locations",
      "topics": [
        "Calif_precip"
      ]
    },
    {
      "page": "Callback",
      "title": "Resume Experiment Data",
      "topics": [
        "Callback",
        "Names_and_race"
      ]
    },
    {
      "page": "datasim_helpers",
      "title": "Helpers for specifying nodes in simulations",
      "topics": [
        "bernoulli",
        "block_by",
        "cat2value",
        "categorical",
        "each",
        "mix_with",
        "random_levels"
      ]
    },
    {
      "page": "regression_summaries",
      "title": "Summaries of regression models",
      "topics": [
        "anova_summary",
        "conf_interval",
        "R2",
        "regression_summary"
      ]
    },
    {
      "page": "CRDS",
      "title": "Smoking and lung function among youths",
      "topics": [
        "CRDS"
      ]
    },
    {
      "page": "dag_draw",
      "title": "Draw a DAG",
      "topics": [
        "dag_draw"
      ]
    },
    {
      "page": "datasim_make",
      "title": "Construct and modify data simulations",
      "topics": [
        "datasim_intervene",
        "datasim_make",
        "datasim_to_igraph"
      ]
    },
    {
      "page": "datasim_run",
      "title": "Run a datasim simulation, producing a data frame",
      "topics": [
        "datasim_run"
      ]
    },
    {
      "page": "Econ_outlook_poll",
      "title": "SIMULATED data from an economic outlook poll",
      "topics": [
        "Econ_outlook_poll"
      ]
    },
    {
      "page": "utils",
      "title": "Utilities",
      "topics": [
        "explanatory_vars",
        "formula_from_mod",
        "get_training_data",
        "response_values",
        "response_var"
      ]
    },
    {
      "page": "FARS",
      "title": "Annual summaries concerning motor-vehicle related fatalities in the US#'",
      "topics": [
        "FARS"
      ]
    },
    {
      "page": "Framingham",
      "title": "Data from the Framingham heart study",
      "topics": [
        "Framingham"
      ]
    },
    {
      "page": "Germany1933vote",
      "title": "Voting patterns in the 1933 German national election",
      "topics": [
        "Germany1933vote"
      ]
    },
    {
      "page": "Gilbert",
      "title": "Data from the trial of serial killer Kristen Gilbert",
      "topics": [
        "Gilbert"
      ]
    },
    {
      "page": "Go_vote",
      "title": "Get out the vote experiment",
      "topics": [
        "Go_vote"
      ]
    },
    {
      "page": "Hill_racing",
      "title": "Winning times in Scottish Hill races, 2005-2017",
      "topics": [
        "Hill_racing"
      ]
    },
    {
      "page": "McClave_Sincich",
      "title": "Data from McClave-Sincich _Statistics_ 11/e",
      "topics": [
        "Clock_auction",
        "Dowsing",
        "Geography_journals",
        "McClave_Sincich",
        "PGA_index"
      ]
    },
    {
      "page": "McCredie_Kurtz",
      "title": "\"Big Five\" personality ratings for college first-year students",
      "topics": [
        "McCredie_Kurtz"
      ]
    },
    {
      "page": "model_eval",
      "title": "Evaluate a model on inputs",
      "topics": [
        "model_eval"
      ]
    },
    {
      "page": "model_eval_fun",
      "title": "Helper functions to evaluate models",
      "topics": [
        "model_eval_fun"
      ]
    },
    {
      "page": "model_family",
      "title": "Check model type against model specification and data",
      "topics": [
        "model_family"
      ]
    },
    {
      "page": "model_plot",
      "title": "Graph a model function",
      "topics": [
        "model_plot"
      ]
    },
    {
      "page": "model_skeleton",
      "title": "Convert a model to a skeleton",
      "topics": [
        "model_skeleton"
      ]
    },
    {
      "page": "model_train",
      "title": "train a model, easily",
      "topics": [
        "model_train"
      ]
    },
    {
      "page": "model_values",
      "title": "Construct a model and return the model values",
      "topics": [
        "model_values"
      ]
    },
    {
      "page": "Monocacy_river",
      "title": "Data on run-off from the Monocacy river at Jug Bridge, Maryland.",
      "topics": [
        "Monocacy_river"
      ]
    },
    {
      "page": "mosaic_cull_for_do",
      "title": "Cull objects used with do()",
      "topics": [
        "mosaic_cull_for_do"
      ]
    },
    {
      "page": "MPG",
      "title": "Fuel economy measurements on US car models",
      "topics": [
        "MPG"
      ]
    },
    {
      "page": "Natality_2014",
      "title": "Medical info on each birth in the US in 2014",
      "topics": [
        "Natality_2014"
      ]
    },
    {
      "page": "Short_examples",
      "title": "Short, simple data frames for textbook examples",
      "topics": [
        "Big",
        "Nats",
        "Tiny"
      ]
    },
    {
      "page": "ntiles",
      "title": "Create vector based on roughly equally sized groups",
      "topics": [
        "ntiles"
      ]
    },
    {
      "page": "Offspring",
      "title": "Relative sizes offspring/parent for many species",
      "topics": [
        "Offspring"
      ]
    },
    {
      "page": "Orings",
      "title": "Space Shuttle O-Ring Failures",
      "topics": [
        "Orings"
      ]
    },
    {
      "page": "Penguins",
      "title": "Body measurements on penguins",
      "topics": [
        "Penguins"
      ]
    },
    {
      "page": "PIDD",
      "title": "Pima Indians Diabetes Database",
      "topics": [
        "PIDD"
      ]
    },
    {
      "page": "point_plot",
      "title": "One-step data graphics",
      "topics": [
        "point_plot"
      ]
    },
    {
      "page": "print.datasim",
      "title": "Nice printing of some internal objects",
      "topics": [
        "print.datasim"
      ]
    },
    {
      "page": "print.model_object",
      "title": "A printing method for model objects",
      "topics": [
        "print.model_object"
      ]
    },
    {
      "page": "random_terms",
      "title": "Create columns with random numbers for modeling",
      "topics": [
        "random_terms"
      ]
    },
    {
      "page": "Registrar",
      "title": "Sample from a college registrar's database",
      "topics": [
        "Gradepoint",
        "Grades",
        "Registrar",
        "Sessions"
      ]
    },
    {
      "page": "Shipping_losses",
      "title": "Shipping losses in 1941 in the Atlantic",
      "topics": [
        "Shipping_losses"
      ]
    },
    {
      "page": "sim_objects",
      "title": "Simulations for use in _Lessons in Statistical Thinking_",
      "topics": [
        "sim_00",
        "sim_01",
        "sim_02",
        "sim_03",
        "sim_04",
        "sim_05",
        "sim_06",
        "sim_07",
        "sim_08",
        "sim_09",
        "sim_10",
        "sim_11",
        "sim_12",
        "sim_flights",
        "sim_medical_observations",
        "sim_objects",
        "sim_prob_21.1",
        "sim_satgpa",
        "sim_school1",
        "sim_school2",
        "sim_vaccine"
      ]
    },
    {
      "page": "split_tilde",
      "title": "Evaluate a tilde expression on a data frame",
      "topics": [
        "split_tilde"
      ]
    },
    {
      "page": "STAR",
      "title": "STAR Project Data",
      "topics": [
        "STAR"
      ]
    },
    {
      "page": "take_sample",
      "title": "Samples from various kinds of objects",
      "topics": [
        "resample",
        "take_sample",
        "take_sample.default"
      ]
    },
    {
      "page": "trials",
      "title": "Run the left side of the pipeline multiple times.",
      "topics": [
        "trials"
      ]
    },
    {
      "page": "UCB_applicants",
      "title": "Roster of applicants to six major departments at UC Berkeley",
      "topics": [
        "UCB_applicants"
      ]
    },
    {
      "page": "US_wildfires",
      "title": "Monthly tallies of wildfires in the US from 2000 to 2022",
      "topics": [
        "US_wildfires"
      ]
    },
    {
      "page": "Wheat",
      "title": "Experimental data on the yield of winter wheat",
      "topics": [
        "Wheat"
      ]
    },
    {
      "page": "zero_one",
      "title": "Zero-one transformation for categorical variable",
      "topics": [
        "label_zero_one",
        "zero_one"
      ]
    }
  ],
  "_readme": "https://github.com/homerhanumat/LSTbook/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "broom",
    "cli",
    "cpp11",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lifecycle",
    "magrittr",
    "MASS",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_score": 2.3891660843645326,
  "_indexed": false,
  "_nocasepkg": "lstbook",
  "_universes": [
    "homerhanumat"
  ],
  "_indexurl": "https://dtkaplan.r-universe.dev/LSTbook",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:38:58.000Z",
      "distro": "noble",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "7686b95b3e58c21501a2c1f4554265edad517e803fad8f1d49e10d8677bb6771",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:39:54.000Z",
      "distro": "noble",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "cadedc79d465b7d5d51e3ef4670e5b5e5f86b6e11d22df4d93c4e1ddc62ff6aa",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:39:28.000Z",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "4ed68c15275c1aa8f13ad440a02f5021b0388a5fceff72b5f6fe9d1228a6d329",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:39:15.000Z",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "c74dab2a5ed4e88445139168c46fb985961e395b550557a86ad65f5712ebfb1d",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:38:14.000Z",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "6b83053229dcce530bb50253801733b3f22700f68ff1df3dce7c706abb1bc7cd",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:39:06.000Z",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "5c0e50bc1dab099b28b594a4d4856e60b299007d4b0063e5fcae6d1df8f1ccf9",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.6.1.91001",
      "date": "2026-05-19T07:37:59.000Z",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "6c7b581ce884f2bab9db4656fb277915600f046cd695cd8992f79fab70fbf18e",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.6.1.91001",
      "date": "2026-06-02T15:13:14.000Z",
      "commit": "d575d03ae3162916efb43de70d5ecea3176437af",
      "fileid": "84265479b11a0b4a06d41aebb35f6a33d71d68ebc07e9939cde5d9efe078cb1d",
      "status": "success",
      "buildurl": "https://github.com/r-universe/homerhanumat/actions/runs/26083079774"
    }
  ]
}