{
  "_id": "6a1411aeacfb0bcc41d3b7ff",
  "Package": "antedep",
  "Title": "Antedependence Models for Longitudinal Data",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Chenyang\", \"Li\", email = \"chenyang-li@uiowa.edu\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Dale\", \"Zimmerman\", email = \"dale-zimmerman@uiowa.edu\",\nrole = c(\"aut\", \"ctb\"))\n)",
  "Author": "Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb]",
  "Maintainer": "Chenyang Li <chenyang-li@uiowa.edu>",
  "Description": "Fitting, simulation, and inference for antedependence\nmodels for longitudinal data, as described in Zimmerman and\nNunez-Anton (2009, ISBN:9781420011074). Supports integer-valued\nantedependence (INAD) models for count data with thinning\noperators (binomial, Poisson, negative binomial) and flexible\ninnovation distributions (Poisson, Bell, negative binomial),\ncategorical antedependence models for discrete-state\nlongitudinal outcomes, and Gaussian antedependence (AD) models\nfor continuous data. Implements maximum likelihood estimation\nvia time-separable optimization and block coordinate descent,\nwith confidence intervals based on Louis' identity and profile\nlikelihood.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "URL": "https://tanchyking.github.io/antedep/,\nhttps://github.com/TanchyKing/antedep",
  "BugReports": "https://github.com/TanchyKing/antedep/issues",
  "Config/testthat/edition": "3",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "cmake",
  "Repository": "https://tanchyking.r-universe.dev",
  "Date/Publication": "2026-04-22 16:17:37 UTC",
  "RemoteUrl": "https://github.com/tanchyking/antedep",
  "RemoteRef": "HEAD",
  "RemoteSha": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-25 09:05:33 UTC",
    "User": "root"
  },
  "MD5sum": "02b723b7d9fb0a8c5c6c54da982fd2b1",
  "_user": "tanchyking",
  "_type": "src",
  "_file": "antedep_0.1.0.tar.gz",
  "_fileid": "864d0ee9f58cf33d05d6b96b5d5f8ff630704f167726d164ec65f2c3a73e9fe2",
  "_filesize": 944110,
  "_sha256": "864d0ee9f58cf33d05d6b96b5d5f8ff630704f167726d164ec65f2c3a73e9fe2",
  "_created": "2026-05-25T09:05:33.000Z",
  "_published": "2026-05-25T09:09:02.729Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77685802315,
      "time": 171,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7195195117"
    },
    {
      "job": 77685802747,
      "time": 156,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195192458"
    },
    {
      "job": 77685802200,
      "time": 156,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7195188164"
    },
    {
      "job": 77685802171,
      "time": 163,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195187006"
    },
    {
      "job": 77685467703,
      "time": 242,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195162629"
    },
    {
      "job": 77685802163,
      "time": 101,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195182544"
    },
    {
      "job": 77685802518,
      "time": 126,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7195187008"
    },
    {
      "job": 77685802652,
      "time": 128,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7195187401"
    },
    {
      "job": 77685802306,
      "time": 133,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195188090"
    }
  ],
  "_buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/tanchyking/antedep",
  "_commit": {
    "id": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
    "author": "TanchyKing <tanchyking@hotmail.com>",
    "committer": "TanchyKing <tanchyking@hotmail.com>",
    "message": "Fix ci_inad example: add data setup so \\donttest runs cleanly\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>\n",
    "time": 1776874657
  },
  "_maintainer": {
    "name": "Chenyang Li",
    "email": "chenyang-li@uiowa.edu"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "nloptr",
      "version": ">= 1.2.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "tanchyking",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-51",
      "n": 6
    },
    {
      "week": "2025-52",
      "n": 1
    },
    {
      "week": "2026-01",
      "n": 2
    },
    {
      "week": "2026-06",
      "n": 6
    },
    {
      "week": "2026-07",
      "n": 15
    },
    {
      "week": "2026-09",
      "n": 11
    },
    {
      "week": "2026-11",
      "n": 8
    },
    {
      "week": "2026-17",
      "n": 4
    }
  ],
  "_tags": [
    {
      "name": "v0.1.0-rc1-2026-02-13",
      "date": "2026-02-13"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "tanchyking",
      "count": 65,
      "uuid": 30284353
    }
  ],
  "_userbio": {
    "uuid": 30284353,
    "type": "user",
    "name": "TanchyKing"
  },
  "_downloads": {
    "count": 560,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/antedep"
  },
  "_devurl": "https://github.com/tanchyking/antedep",
  "_pkgdown": "https://tanchyking.github.io/antedep/",
  "_searchresults": 0,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/antedep.html",
    "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",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/tanchyking/antedep",
  "_realowner": "tanchyking",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2026-04-24"
    },
    {
      "version": "0.2.0",
      "date": "2026-05-09"
    }
  ],
  "_exports": [
    "aic_cat",
    "aic_gau",
    "aic_inad",
    "bic_cat",
    "bic_gau",
    "bic_inad",
    "bic_order_cat",
    "bic_order_gau",
    "bic_order_inad",
    "ci_cat",
    "ci_gau",
    "ci_inad",
    "dbell",
    "em_cat",
    "em_gau",
    "em_inad",
    "fit_cat",
    "fit_gau",
    "fit_inad",
    "logL_cat",
    "logL_gau",
    "logL_inad",
    "logL_inad_i",
    "partial_corr",
    "pbell",
    "plot_prism",
    "plot_profile",
    "qbell",
    "rbell",
    "run_homogeneity_tests_inad",
    "run_order_tests_cat",
    "run_stationarity_tests_cat",
    "run_stationarity_tests_gau",
    "run_stationarity_tests_inad",
    "simulate_cat",
    "simulate_gau",
    "simulate_inad",
    "test_contrast_gau",
    "test_homogeneity_cat",
    "test_homogeneity_gau",
    "test_homogeneity_inad",
    "test_one_sample_gau",
    "test_order_cat",
    "test_order_gau",
    "test_order_inad",
    "test_stationarity_cat",
    "test_stationarity_gau",
    "test_stationarity_inad",
    "test_timeinvariance_cat",
    "test_two_sample_gau"
  ],
  "_datasets": [
    {
      "name": "bolus_inad",
      "title": "Morphine bolus analgesia counts",
      "object": "bolus_inad",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "cattle_growth",
      "title": "Cattle growth data (Treatments A and B)",
      "object": "cattle_growth",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "cochlear_implant",
      "title": "Cochlear implant speech recognition data",
      "object": "cochlear_implant",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "labor_force_cat",
      "title": "Labor force longitudinal categorical data (Table 1)",
      "object": "labor_force_cat",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "race_100km",
      "title": "100km race split-time data",
      "object": "race_100km",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "aic_cat",
      "title": "Akaike information criterion for fitted categorical AD models",
      "topics": [
        "aic_cat"
      ]
    },
    {
      "page": "aic_gau",
      "title": "Akaike information criterion for fitted Gaussian AD models",
      "topics": [
        "aic_gau"
      ]
    },
    {
      "page": "aic_inad",
      "title": "Akaike information criterion for fitted INAD models",
      "topics": [
        "aic_inad"
      ]
    },
    {
      "page": "Bell",
      "title": "The Bell distribution",
      "topics": [
        "Bell",
        "dbell",
        "pbell",
        "qbell",
        "rbell"
      ]
    },
    {
      "page": "bic_cat",
      "title": "Bayesian information criterion for fitted categorical AD models",
      "topics": [
        "bic_cat"
      ]
    },
    {
      "page": "bic_gau",
      "title": "Bayesian information criterion for fitted Gaussian AD models",
      "topics": [
        "bic_gau"
      ]
    },
    {
      "page": "bic_inad",
      "title": "Bayesian information criterion for fitted INAD models",
      "topics": [
        "bic_inad"
      ]
    },
    {
      "page": "bic_order_cat",
      "title": "BIC-based order selection for categorical AD models",
      "topics": [
        "bic_order_cat"
      ]
    },
    {
      "page": "bic_order_gau",
      "title": "BIC-based order selection for Gaussian AD models",
      "topics": [
        "bic_order_gau"
      ]
    },
    {
      "page": "bic_order_inad",
      "title": "BIC-based order selection for INAD models",
      "topics": [
        "bic_order_inad"
      ]
    },
    {
      "page": "bolus_inad",
      "title": "Morphine bolus analgesia counts",
      "topics": [
        "bolus_inad"
      ]
    },
    {
      "page": "cattle_growth",
      "title": "Cattle growth data (Treatments A and B)",
      "topics": [
        "cattle_growth"
      ]
    },
    {
      "page": "ci_cat",
      "title": "Confidence intervals for fitted categorical AD models",
      "topics": [
        "ci_cat"
      ]
    },
    {
      "page": "ci_gau",
      "title": "Confidence intervals for fitted Gaussian AD models",
      "topics": [
        "ci_gau"
      ]
    },
    {
      "page": "ci_inad",
      "title": "Confidence intervals for fitted INAD models",
      "topics": [
        "ci_inad"
      ]
    },
    {
      "page": "cochlear_implant",
      "title": "Cochlear implant speech recognition data",
      "topics": [
        "cochlear_implant"
      ]
    },
    {
      "page": "em_cat",
      "title": "EM algorithm for categorical AD model estimation",
      "topics": [
        "em_cat"
      ]
    },
    {
      "page": "em_gau",
      "title": "EM algorithm for Gaussian AD model estimation",
      "topics": [
        "em_gau"
      ]
    },
    {
      "page": "em_inad",
      "title": "EM algorithm for INAD model estimation",
      "topics": [
        "em_inad"
      ]
    },
    {
      "page": "fit_cat",
      "title": "Fit categorical antedependence model by maximum likelihood",
      "topics": [
        "fit_cat"
      ]
    },
    {
      "page": "fit_gau",
      "title": "Fit Gaussian antedependence model by maximum likelihood",
      "topics": [
        "fit_gau"
      ]
    },
    {
      "page": "fit_inad",
      "title": "Fit INAD antedependence model by maximum likelihood",
      "topics": [
        "fit_inad"
      ]
    },
    {
      "page": "labor_force_cat",
      "title": "Labor force longitudinal categorical data (Table 1)",
      "topics": [
        "labor_force_cat"
      ]
    },
    {
      "page": "logL_cat",
      "title": "Log-likelihood for categorical AD models (with missing data support)",
      "topics": [
        "logL_cat"
      ]
    },
    {
      "page": "logL_gau",
      "title": "Log-likelihood for Gaussian AD models (with missing data support)",
      "topics": [
        "logL_gau"
      ]
    },
    {
      "page": "logL_inad",
      "title": "Log-likelihood for INAD models (with missing data support)",
      "topics": [
        "logL_inad"
      ]
    },
    {
      "page": "logL_inad_i",
      "title": "INAD log likelihood contribution at time i (no fixed effect)",
      "topics": [
        "logL_inad_i"
      ]
    },
    {
      "page": "partial_corr",
      "title": "Compute intervenor-adjusted partial correlation matrix",
      "topics": [
        "partial_corr"
      ]
    },
    {
      "page": "plot_prism",
      "title": "PRISM plot (Partial Residual Intervenor Scatterplot Matrix)",
      "topics": [
        "plot_prism"
      ]
    },
    {
      "page": "plot_profile",
      "title": "Profile plot (spaghetti plot) for longitudinal data",
      "topics": [
        "plot_profile"
      ]
    },
    {
      "page": "print.cat_ci",
      "title": "Print method for cat_ci objects",
      "topics": [
        "print.cat_ci"
      ]
    },
    {
      "page": "print.cat_fit",
      "title": "Print method for cat_fit objects",
      "topics": [
        "print.cat_fit"
      ]
    },
    {
      "page": "print.cat_lrt",
      "title": "Print method for cat_lrt objects",
      "topics": [
        "print.cat_lrt"
      ]
    },
    {
      "page": "print.gau_bic_order",
      "title": "Print method for BIC order selection",
      "topics": [
        "print.gau_bic_order"
      ]
    },
    {
      "page": "print.gau_ci",
      "title": "Print method for AD confidence intervals",
      "topics": [
        "print.gau_ci"
      ]
    },
    {
      "page": "print.gau_contrast_test",
      "title": "Print method for AD contrast test",
      "topics": [
        "print.gau_contrast_test"
      ]
    },
    {
      "page": "print.gau_fit",
      "title": "Print method for gau_fit objects",
      "topics": [
        "print.gau_fit"
      ]
    },
    {
      "page": "print.gau_homogeneity_test",
      "title": "Print method for AD homogeneity test",
      "topics": [
        "print.gau_homogeneity_test"
      ]
    },
    {
      "page": "print.gau_mean_test",
      "title": "Print method for AD mean test",
      "topics": [
        "print.gau_mean_test"
      ]
    },
    {
      "page": "print.gau_order_test",
      "title": "Print method for AD order test",
      "topics": [
        "print.gau_order_test"
      ]
    },
    {
      "page": "print.homogeneity_tests_inad",
      "title": "Print method for homogeneity_tests_inad",
      "topics": [
        "print.homogeneity_tests_inad"
      ]
    },
    {
      "page": "print.inad_ci",
      "title": "Print method for INAD confidence intervals",
      "topics": [
        "print.inad_ci"
      ]
    },
    {
      "page": "print.inad_fit",
      "title": "Print method for INAD model fits",
      "topics": [
        "print.inad_fit"
      ]
    },
    {
      "page": "print.test_homogeneity_inad",
      "title": "Print method for test_homogeneity_inad",
      "topics": [
        "print.test_homogeneity_inad"
      ]
    },
    {
      "page": "race_100km",
      "title": "100km race split-time data",
      "topics": [
        "race_100km"
      ]
    },
    {
      "page": "run_homogeneity_tests_inad",
      "title": "Run all homogeneity tests for INAD",
      "topics": [
        "run_homogeneity_tests_inad"
      ]
    },
    {
      "page": "run_order_tests_cat",
      "title": "Run all pairwise order tests",
      "topics": [
        "run_order_tests_cat"
      ]
    },
    {
      "page": "run_stationarity_tests_cat",
      "title": "Run all stationarity-related tests for categorical AD",
      "topics": [
        "run_stationarity_tests_cat"
      ]
    },
    {
      "page": "run_stationarity_tests_gau",
      "title": "Run all stationarity-related tests for Gaussian AD",
      "topics": [
        "run_stationarity_tests_gau"
      ]
    },
    {
      "page": "run_stationarity_tests_inad",
      "title": "Run all stationarity-related tests for INAD",
      "topics": [
        "run_stationarity_tests_inad"
      ]
    },
    {
      "page": "simulate_cat",
      "title": "Simulate categorical antedependence series",
      "topics": [
        "simulate_cat"
      ]
    },
    {
      "page": "simulate_gau",
      "title": "Simulate Gaussian antedependence series",
      "topics": [
        "simulate_gau"
      ]
    },
    {
      "page": "simulate_inad",
      "title": "Simulate INAD antedependence series",
      "topics": [
        "simulate_inad"
      ]
    },
    {
      "page": "summary.cat_ci",
      "title": "Summary method for cat_ci objects",
      "topics": [
        "summary.cat_ci"
      ]
    },
    {
      "page": "summary.gau_ci",
      "title": "Summary method for gau_ci objects",
      "topics": [
        "summary.gau_ci"
      ]
    },
    {
      "page": "summary.inad_ci",
      "title": "Summary method for inad_ci objects",
      "topics": [
        "summary.inad_ci"
      ]
    },
    {
      "page": "test_contrast_gau",
      "title": "Test linear hypotheses on the mean under antedependence",
      "topics": [
        "test_contrast_gau"
      ]
    },
    {
      "page": "test_homogeneity_cat",
      "title": "Likelihood ratio test for homogeneity across groups (categorical AD data)",
      "topics": [
        "test_homogeneity_cat"
      ]
    },
    {
      "page": "test_homogeneity_gau",
      "title": "Likelihood ratio test for homogeneity across groups (Gaussian AD data)",
      "topics": [
        "test_homogeneity_gau"
      ]
    },
    {
      "page": "test_homogeneity_inad",
      "title": "Likelihood ratio test for homogeneity across groups (INAD data)",
      "topics": [
        "test_homogeneity_inad"
      ]
    },
    {
      "page": "test_one_sample_gau",
      "title": "One-sample test for mean structure under antedependence",
      "topics": [
        "test_one_sample_gau"
      ]
    },
    {
      "page": "test_order_cat",
      "title": "Likelihood ratio test for antedependence order (categorical AD data)",
      "topics": [
        "test_order_cat"
      ]
    },
    {
      "page": "test_order_gau",
      "title": "Likelihood ratio test for antedependence order (Gaussian AD data)",
      "topics": [
        "test_order_gau"
      ]
    },
    {
      "page": "test_order_inad",
      "title": "Likelihood ratio test for antedependence order (INAD data)",
      "topics": [
        "test_order_inad"
      ]
    },
    {
      "page": "test_stationarity_cat",
      "title": "Likelihood ratio test for stationarity (categorical AD data)",
      "topics": [
        "test_stationarity_cat"
      ]
    },
    {
      "page": "test_stationarity_gau",
      "title": "Likelihood ratio test for stationarity (Gaussian AD data)",
      "topics": [
        "test_stationarity_gau"
      ]
    },
    {
      "page": "test_stationarity_inad",
      "title": "Likelihood ratio test for stationarity (INAD data)",
      "topics": [
        "test_stationarity_inad"
      ]
    },
    {
      "page": "test_timeinvariance_cat",
      "title": "Likelihood ratio test for time-invariance (categorical data)",
      "topics": [
        "test_timeinvariance_cat"
      ]
    },
    {
      "page": "test_two_sample_gau",
      "title": "Two-sample test for equality of mean profiles under antedependence",
      "topics": [
        "test_two_sample_gau"
      ]
    }
  ],
  "_readme": "https://github.com/tanchyking/antedep/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cpp11",
    "farver",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lifecycle",
    "MASS",
    "nloptr",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "antedep-intro.Rmd",
      "filename": "antedep-intro.html",
      "title": "Introduction to antedep",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Production-Readiness Matrix",
        "Visualizing Longitudinal Data",
        "AD Workflow (Continuous Outcomes)",
        "Complete-data fit and order comparison",
        "Missing-data AD fit",
        "AD mean and covariance structure tests (complete data)",
        "INAD Workflow (Count Outcomes)",
        "Complete-data INAD fit",
        "Missing-data INAD fit",
        "CAT Workflow (Categorical Outcomes)",
        "Complete-data CAT fit and inference",
        "Missing-data CAT fit",
        "Additional Inference Helpers (Complete Data)",
        "Known Limitations",
        "Recommended Check Command"
      ],
      "created": "2026-02-08 20:48:26",
      "modified": "2026-04-21 23:46:07",
      "commits": 13
    }
  ],
  "_score": 4.6020599913279625,
  "_indexed": true,
  "_nocasepkg": "antedep",
  "_universes": [
    "tanchyking"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-05-25T09:07:51.000Z",
      "distro": "noble",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "55db4601bba676a1c648950aab8024b2a213a3420606ebd9997615c27fb2aa8b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-05-25T09:07:50.000Z",
      "distro": "noble",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "04f825a3f90a268b69e57eccc63571702ae50b478708c8c33259783328b5f94b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-05-25T09:07:40.000Z",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "9e970507e45a4c54d6dad6075c002f12b0b4ec0ca3a9a277d4bd600dcec42987",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-05-25T09:07:30.000Z",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "d88f4da53e92768a6f2ca877096de24f3ad7238a7be4d91d40f9a2f17e3255d1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-05-25T09:07:39.000Z",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "c36dc1a2e85673aee7ff3c45c662156e9a2ea7b18d8860b8d2c885f0533c8235",
      "status": "success",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-05-25T09:06:55.000Z",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "b5a784378a2825ed0fbb370ff542c57a3cdd54f5f15c32debd84e13dee66f6f8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-05-25T09:06:55.000Z",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "e42162ae41fe721c9b47c12d996e7322ec9fe9c476010499179e280fcd542a54",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-05-25T09:06:59.000Z",
      "commit": "355a34576c8e5bf6dce875ea92c774f068fa33f5",
      "fileid": "76cdab12ba6a1354bc641d4459aa9202064fd7ccb62a7b8de755a89e73ba283f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tanchyking/actions/runs/26392538657"
    }
  ]
}