{
  "_id": "6a21f08fcd65a98ecbd41e43",
  "Type": "Package",
  "Package": "wisclabmisc",
  "Title": "Tools to Support the 'WiscLab'",
  "Version": "0.1.1.9000",
  "Authors@R": "person(\"Tristan\", \"Mahr\", , \"tristan.mahr@wisc.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-8890-5116\"))",
  "Description": "A collection of 'R' functions for use (and re-use) across\n'WiscLab' projects.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/wisclab/wisclabmisc,\nhttps://wisclab.github.io/wisclabmisc/",
  "BugReports": "https://github.com/wisclab/wisclabmisc/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/Needs/website": "brms, rstan, rmarkdown",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "Config/roxygen2/version": "8.0.0",
  "Config/pak/sysreqs": "cmake git make libgit2-dev libicu-dev libuv1-dev\nlibssl-dev libx11-dev",
  "Repository": "https://tjmahr.r-universe.dev",
  "Date/Publication": "2026-06-04 19:20:11 UTC",
  "RemoteUrl": "https://github.com/tjmahr/wisclabmisc",
  "RemoteRef": "HEAD",
  "RemoteSha": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 21:34:24 UTC",
    "User": "root"
  },
  "Author": "Tristan Mahr [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8890-5116>)",
  "Maintainer": "Tristan Mahr <tristan.mahr@wisc.edu>",
  "MD5sum": "17574676bac99b747f751406baa8f134",
  "_user": "tjmahr",
  "_type": "src",
  "_file": "wisclabmisc_0.1.1.9000.tar.gz",
  "_fileid": "2ae51e80127b63fbca73c30ab3aadffef378f5f61322c11bd5c8f75686287454",
  "_filesize": 2001619,
  "_sha256": "2ae51e80127b63fbca73c30ab3aadffef378f5f61322c11bd5c8f75686287454",
  "_created": "2026-06-04T21:34:24.000Z",
  "_published": "2026-06-04T21:39:27.224Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79619984036,
      "time": 226,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7423638937"
    },
    {
      "job": 79619984032,
      "time": 202,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7423631147"
    },
    {
      "job": 79619984174,
      "time": 103,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7423601421"
    },
    {
      "job": 79619984051,
      "time": 152,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7423616978"
    },
    {
      "job": 79619205753,
      "time": 292,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7423570546"
    },
    {
      "job": 79619984031,
      "time": 160,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7423618680"
    },
    {
      "job": 79619984091,
      "time": 140,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7423613121"
    },
    {
      "job": 79619984111,
      "time": 131,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7423609994"
    },
    {
      "job": 79619984052,
      "time": 131,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7423610210"
    }
  ],
  "_buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/tjmahr/wisclabmisc",
  "_commit": {
    "id": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
    "author": "TJ Mahr <tjmahr@users.noreply.github.com>",
    "committer": "TJ Mahr <tjmahr@users.noreply.github.com>",
    "message": "fix tbl_bind() examples\n",
    "time": 1780600811
  },
  "_maintainer": {
    "name": "Tristan Mahr",
    "email": "tristan.mahr@wisc.edu",
    "login": "tjmahr",
    "twitter": "@tjmahr",
    "description": "Language and data scientist",
    "uuid": 1890315,
    "orcid": "0000-0002-8890-5116"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2",
      "role": "Depends"
    },
    {
      "package": "cli",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "fs",
      "role": "Imports"
    },
    {
      "package": "gamlss",
      "version": ">= 5.2.0",
      "role": "Imports"
    },
    {
      "package": "lifecycle",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "ordinal",
      "role": "Imports"
    },
    {
      "package": "pROC",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.1.0",
      "role": "Imports"
    },
    {
      "package": "rsample",
      "role": "Imports"
    },
    {
      "package": "sessioninfo",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "tidyselect",
      "role": "Imports"
    },
    {
      "package": "usethis",
      "role": "Imports"
    },
    {
      "package": "DBI",
      "role": "Suggests"
    },
    {
      "package": "duckdb",
      "role": "Suggests"
    },
    {
      "package": "gamlss.dist",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "logitnorm",
      "role": "Suggests"
    },
    {
      "package": "nlme",
      "role": "Suggests"
    },
    {
      "package": "numDeriv",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "roxygen2",
      "role": "Suggests"
    },
    {
      "package": "rstanarm",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "tidyverse",
      "role": "Suggests"
    }
  ],
  "_owner": "tjmahr",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-30",
      "n": 3
    },
    {
      "week": "2025-40",
      "n": 1
    },
    {
      "week": "2025-44",
      "n": 4
    },
    {
      "week": "2025-51",
      "n": 1
    },
    {
      "week": "2026-03",
      "n": 3
    },
    {
      "week": "2026-06",
      "n": 4
    },
    {
      "week": "2026-12",
      "n": 2
    },
    {
      "week": "2026-23",
      "n": 5
    }
  ],
  "_tags": [],
  "_stars": 2,
  "_contributors": [
    {
      "user": "tjmahr",
      "count": 111,
      "uuid": 1890315
    }
  ],
  "_userbio": {
    "uuid": 1890315,
    "type": "user",
    "name": "TJ Mahr",
    "description": "Language and data scientist"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/wisclabmisc"
  },
  "_devurl": "https://github.com/wisclab/wisclabmisc",
  "_pkgdown": "https://wisclab.github.io/wisclabmisc/",
  "_searchresults": 4,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/wisclabmisc.html",
    "manual.pdf"
  ],
  "_cranurl": false,
  "_exports": [
    "%>%",
    "audit_peek",
    "audit_poke",
    "audit_unwrap",
    "audit_wrap",
    "brms_args_create",
    "check_computed_centiles",
    "check_model_centiles",
    "check_sample_centiles",
    "chrono_age",
    "compute_empirical_roc",
    "compute_overlap_rate",
    "compute_predictive_value_from_rates",
    "compute_sens_spec_from_ecdf",
    "compute_smooth_density_roc",
    "file_rename_with",
    "file_replace_name",
    "fit_beta_gamlss",
    "fit_beta_gamlss_se",
    "fit_gen_gamma_gamlss",
    "fit_gen_gamma_gamlss_se",
    "fit_kmeans",
    "format_year_month_age",
    "impute_values_by_length",
    "info_cross_entropy",
    "info_entropy",
    "info_kl_divergence",
    "info_kl_divergence_matrix",
    "info_surprisal",
    "join_to_split",
    "logitnorm_mean",
    "mem_gamlss",
    "optimize_beta_gamlss_slope",
    "parse_year_month_age",
    "parse_yymm_age",
    "partial_trapezoid_auc",
    "pivot_centiles_longer",
    "predict_beta_gamlss",
    "predict_centiles",
    "predict_gen_gamma_gamlss",
    "skip_block",
    "tbl_bind",
    "tocs_item",
    "tocs_length",
    "tocs_type",
    "trapezoid_auc",
    "uniroot_beta_gamlss",
    "weight_lengths_with_ordinal_model"
  ],
  "_datasets": [
    {
      "name": "data_acq_consonants",
      "title": "Acquisition and developmental descriptions of consonants and vowels",
      "object": "data_acq_consonants",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "phone",
        "cmubet",
        "wiscbet",
        "cm2020_90_age_mean",
        "cm2020_90_age_sd",
        "cm2020_90_age_min",
        "cm2020_90_age_max",
        "cm2020_90_num_studies",
        "cm2020_90_stage",
        "s93_eights",
        "k1992_set",
        "kd2018_complexity",
        "hml84_frequency",
        "hml84_log10fpm",
        "mhr82_frequency",
        "mhr82_log10fpm"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_acq_vowels",
      "title": "Acquisition and developmental descriptions of consonants and vowels",
      "object": "data_acq_vowels",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "phone",
        "cmubet",
        "wiscbet",
        "kd2018_complexity",
        "hml84_frequency",
        "hml84_log10fpm",
        "mhr82_frequency",
        "mhr82_log10fpm"
      ],
      "rows": 17,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_example_intelligibility_by_length",
      "title": "Simulated intelligibility scores by utterance length",
      "object": "data_example_intelligibility_by_length",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "child",
        "age_months",
        "length_longest",
        "tocs_level",
        "sim_intelligibility"
      ],
      "rows": 694,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_fake_intelligibility",
      "title": "Fake intelligibility data",
      "object": "data_fake_intelligibility",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age_months",
        "intelligibility"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_fake_rates",
      "title": "Fake speaking rate data",
      "object": "data_fake_rates",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age_months",
        "speaking_sps"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_features_consonants",
      "title": "Phonetic features of consonants and vowels",
      "object": "data_features_consonants",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "phone",
        "cmubet",
        "wiscbet",
        "voicing",
        "voicing_alt",
        "manner",
        "manner_alt",
        "place",
        "place_fct",
        "sonorance",
        "sonorance_alt"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_features_vowels",
      "title": "Phonetic features of consonants and vowels",
      "object": "data_features_vowels",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "phone",
        "cmubet",
        "wiscbet",
        "hint",
        "manner",
        "manner_alt",
        "tenseness",
        "height",
        "height_fct",
        "height_alt",
        "backness",
        "backness_fct",
        "rounding"
      ],
      "rows": 17,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_tocs_items",
      "title": "Items from the TOCS+ used by the WISC Lab",
      "object": "data_tocs_items",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "tocs_type",
        "tocs_level",
        "tocs_item",
        "tocs_prompt",
        "tocs_item_note"
      ],
      "rows": 103,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "audit",
      "title": "A lightweight container for auditing or logging",
      "concept": [
        "programming-utils"
      ],
      "topics": [
        "audit_peek",
        "audit_poke",
        "audit_unwrap",
        "audit_wrap"
      ]
    },
    {
      "page": "brms_args_create",
      "title": "Set default arguments for brms model fitting",
      "topics": [
        "brms_args_create"
      ]
    },
    {
      "page": "check_model_centiles",
      "title": "Compute the percentage of points under each centile line",
      "concept": [
        "gamlss"
      ],
      "topics": [
        "check_computed_centiles",
        "check_model_centiles"
      ]
    },
    {
      "page": "chrono_age",
      "title": "Compute chronological age in months",
      "concept": [
        "data-utils"
      ],
      "topics": [
        "chrono_age"
      ]
    },
    {
      "page": "compute_empirical_roc",
      "title": "Create an ROC curve from observed data",
      "concept": [
        "roc"
      ],
      "topics": [
        "compute_empirical_roc"
      ]
    },
    {
      "page": "compute_overlap_rate",
      "title": "Compute overlap rate for (phoneme alignment) intervals",
      "topics": [
        "compute_overlap_rate"
      ]
    },
    {
      "page": "compute_predictive_value_from_rates",
      "title": "Compute positive and negative predictive value",
      "concept": [
        "roc"
      ],
      "topics": [
        "compute_predictive_value_from_rates"
      ]
    },
    {
      "page": "compute_sens_spec_from_ecdf",
      "title": "Compute sensitivity and specificity scores from (weighted) observed data",
      "concept": [
        "roc"
      ],
      "topics": [
        "compute_sens_spec_from_ecdf"
      ]
    },
    {
      "page": "compute_smooth_density_roc",
      "title": "Create an ROC curve from smoothed densities",
      "concept": [
        "roc"
      ],
      "topics": [
        "compute_smooth_density_roc"
      ]
    },
    {
      "page": "data_acq_consonants",
      "title": "Acquisition and developmental descriptions of consonants and vowels",
      "concept": [
        "datasets"
      ],
      "topics": [
        "data_acq_consonants",
        "data_acq_vowels"
      ]
    },
    {
      "page": "data_example_intelligibility_by_length",
      "title": "Simulated intelligibility scores by utterance length",
      "concept": [
        "datasets"
      ],
      "topics": [
        "data_example_intelligibility_by_length"
      ]
    },
    {
      "page": "data_fake_intelligibility",
      "title": "Fake intelligibility data",
      "concept": [
        "datasets"
      ],
      "topics": [
        "data_fake_intelligibility"
      ]
    },
    {
      "page": "data_fake_rates",
      "title": "Fake speaking rate data",
      "concept": [
        "datasets"
      ],
      "topics": [
        "data_fake_rates"
      ]
    },
    {
      "page": "data_features_consonants",
      "title": "Phonetic features of consonants and vowels",
      "concept": [
        "datasets"
      ],
      "topics": [
        "data_features_consonants",
        "data_features_vowels"
      ]
    },
    {
      "page": "data_tocs_items",
      "title": "Items from the TOCS+ used by the WISC Lab",
      "concept": [
        "datasets"
      ],
      "topics": [
        "data_tocs_items"
      ]
    },
    {
      "page": "file_rename_with",
      "title": "Rename file basenames using functions",
      "topics": [
        "file_rename_with",
        "file_replace_name"
      ]
    },
    {
      "page": "beta-intelligibility",
      "title": "Fit a beta regression model (for intelligibility)",
      "concept": [
        "models"
      ],
      "topics": [
        "fit_beta_gamlss",
        "fit_beta_gamlss_se",
        "optimize_beta_gamlss_slope",
        "predict_beta_gamlss",
        "uniroot_beta_gamlss"
      ]
    },
    {
      "page": "gen-gamma-rate",
      "title": "Fit a generalized gamma regression model (for speaking rate)",
      "concept": [
        "models"
      ],
      "topics": [
        "fit_gen_gamma_gamlss",
        "fit_gen_gamma_gamlss_se",
        "predict_gen_gamma_gamlss"
      ]
    },
    {
      "page": "fit_kmeans",
      "title": "Run (scaled) k-means on a dataset.",
      "concept": [
        "other-stats"
      ],
      "topics": [
        "fit_kmeans"
      ]
    },
    {
      "page": "ages",
      "title": "Convert between age in months, years;months, and yymm age formats",
      "concept": [
        "data-utils"
      ],
      "topics": [
        "format_year_month_age",
        "parse_year_month_age",
        "parse_yymm_age"
      ]
    },
    {
      "page": "impute_values_by_length",
      "title": "Staged imputation",
      "concept": [
        "data-utils"
      ],
      "topics": [
        "impute_values_by_length"
      ]
    },
    {
      "page": "information",
      "title": "Compute entropy and related measures",
      "concept": [
        "other-stats"
      ],
      "topics": [
        "info_cross_entropy",
        "info_entropy",
        "info_kl_divergence",
        "info_kl_divergence_matrix",
        "info_surprisal"
      ]
    },
    {
      "page": "join_to_split",
      "title": "Join data onto resampled IDs",
      "concept": [
        "etc"
      ],
      "topics": [
        "join_to_split"
      ]
    },
    {
      "page": "logitnorm_mean",
      "title": "Compute the mean of logit-normal distribution(s)",
      "concept": [
        "other-stats"
      ],
      "topics": [
        "logitnorm_mean"
      ]
    },
    {
      "page": "mem_gamlss",
      "title": "Fit a gamlss model but store user data",
      "concept": [
        "gamlss"
      ],
      "topics": [
        "mem_gamlss"
      ]
    },
    {
      "page": "predict_centiles",
      "title": "Predict and tidy centiles from a GAMLSS model",
      "concept": [
        "gamlss"
      ],
      "topics": [
        "pivot_centiles_longer",
        "predict_centiles"
      ]
    },
    {
      "page": "print_duckdb",
      "title": "Custom function for printing duckdb database connections",
      "concept": [
        "database"
      ],
      "topics": [
        "print_duckdb"
      ]
    },
    {
      "page": "skip_block",
      "title": "Skip a block of code without executing it",
      "concept": [
        "programming-utils"
      ],
      "topics": [
        "skip_block"
      ]
    },
    {
      "page": "tbl_bind",
      "title": "Select and row-bind multiple database tables from the same source together",
      "concept": [
        "database"
      ],
      "topics": [
        "tbl_bind"
      ]
    },
    {
      "page": "tocs_item",
      "title": "Extract the TOCS details from a string (usually a filename)",
      "concept": [
        "data-utils"
      ],
      "topics": [
        "tocs_item",
        "tocs_length",
        "tocs_type"
      ]
    },
    {
      "page": "trapezoid_auc",
      "title": "Compute AUCs using the trapezoid method",
      "concept": [
        "roc"
      ],
      "topics": [
        "partial_trapezoid_auc",
        "trapezoid_auc"
      ]
    },
    {
      "page": "weight_lengths_with_ordinal_model",
      "title": "Weight utterance lengths by using an ordinal regression model",
      "concept": [
        "data-utils"
      ],
      "topics": [
        "weight_lengths_with_ordinal_model"
      ]
    }
  ],
  "_readme": "https://github.com/tjmahr/wisclabmisc/raw/HEAD/README.md",
  "_rundeps": [
    "askpass",
    "cli",
    "clipr",
    "codetools",
    "cpp11",
    "crayon",
    "credentials",
    "curl",
    "desc",
    "digest",
    "dplyr",
    "fs",
    "furrr",
    "future",
    "gamlss",
    "gamlss.data",
    "gamlss.dist",
    "generics",
    "gert",
    "gitcreds",
    "globals",
    "glue",
    "httr2",
    "ini",
    "jsonlite",
    "lattice",
    "lifecycle",
    "listenv",
    "magrittr",
    "MASS",
    "Matrix",
    "nlme",
    "numDeriv",
    "openssl",
    "ordinal",
    "parallelly",
    "pillar",
    "pkgconfig",
    "pROC",
    "purrr",
    "R6",
    "rappdirs",
    "Rcpp",
    "rlang",
    "rprojroot",
    "rsample",
    "rstudioapi",
    "sessioninfo",
    "slider",
    "stringi",
    "stringr",
    "survival",
    "sys",
    "tibble",
    "tidyr",
    "tidyselect",
    "ucminf",
    "usethis",
    "utf8",
    "vctrs",
    "warp",
    "whisker",
    "withr",
    "yaml",
    "zip"
  ],
  "_vignettes": [
    {
      "source": "gamlss-tools.Rmd",
      "filename": "gamlss-tools.html",
      "title": "Tools for GAMLSS models",
      "engine": "knitr::rmarkdown",
      "headings": [
        "A gamlss() that remembers the data",
        "Centile prediction and tidying",
        "Sample centiles checks"
      ],
      "created": "2022-02-11 19:24:33",
      "modified": "2025-02-17 22:20:19",
      "commits": 2
    },
    {
      "source": "roc.Rmd",
      "filename": "roc.html",
      "title": "Tools for ROC curves",
      "engine": "knitr::rmarkdown",
      "headings": [
        "A primer on ROC curves",
        "A worked example",
        "Emprical ROC curves",
        "Empirical ROC curves on weighted data",
        "(Smooth) density ROC curves"
      ],
      "created": "2022-02-11 19:24:33",
      "modified": "2026-02-06 18:38:20",
      "commits": 6
    }
  ],
  "_score": 4.204119982655925,
  "_indexed": true,
  "_nocasepkg": "wisclabmisc",
  "_universes": [
    "tjmahr",
    "wisclab"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:38:26.000Z",
      "distro": "noble",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "b496d25c9d761f5165b957a2a690fcb5a68d949d9be52108745a3f92e25b1150",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:38:05.000Z",
      "distro": "noble",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "e82a825cef1d7faba80cab8773dc3b051413280014cff86ae6e65ccd89de61f8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:36:37.000Z",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "e514ea16420c8350573db062d4342aad1097b95308e80bb3f5f37d7952713e3f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:37:27.000Z",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "573bd8b03d93084e8f1de31c49a005324d4d61643b457a11c878937e97c77818",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:37:58.000Z",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "e5a8de1e707097e12fc6b03a936f800b6983adb7005d8cb844124fc2668f3552",
      "status": "success",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:36:51.000Z",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "65e2ffc053ef03a97557243636fc665fe73bd25bf3f241afa209239a9a3a6e09",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:36:45.000Z",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "1247fb51c213c4dcb219c088e67ba8f6c402d63d7218c9254e22d3f638bb80be",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.1.9000",
      "date": "2026-06-04T21:36:45.000Z",
      "commit": "6550d26b90f55f8c2e4a6df7a86de749d27d5b5e",
      "fileid": "5d41bb3aafcd16cb40b086a2dd21b7644182ed82321fe576e0e642ed2de8611c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tjmahr/actions/runs/26980770705"
    }
  ]
}