{
  "_id": "6ae3275a95ca2370cc8cdcfb",
  "Package": "bayesdfa",
  "Type": "Package",
  "Title": "Bayesian Dynamic Factor Analysis (DFA) with 'Stan'",
  "Version": "1.3.4",
  "Authors@R": "c(\nperson(c(\"Eric\", \"J.\"), \"Ward\", role = c(\"aut\", \"cre\"),\nemail = \"eric.ward@noaa.gov\"),\nperson(c(\"Sean\", \"C.\"), \"Anderson\", role = \"aut\"),\nperson(c(\"Luis\", \"A.\"), \"Damiano\", role = \"aut\"),\nperson(c(\"Michael\", \"J.\"), \"Malick\", role=\"aut\"),\nperson(c(\"Philina\", \"A.\"), \"English\", role=\"aut\"),\nperson(c(\"Mary\", \"E.\"), \"Hunsicker,\", role = \"ctb\"),\nperson(c(\"Mike\", \"A.\"), \"Litzow\", role = \"ctb\"),\nperson(c(\"Mark\", \"D.\"), \"Scheuerell\", role = \"ctb\"),\nperson(c(\"Elizabeth\", \"E.\"), \"Holmes\", role = \"ctb\"),\nperson(c(\"Nick\",\"\"), \"Tolimieri\", role = \"ctb\"),\nperson(\"Trustees of\", \"Columbia University\", role = \"cph\"))",
  "Description": "Implements Bayesian dynamic factor analysis with 'Stan'.\nDynamic factor analysis is a dimension reduction tool for\nmultivariate time series. 'bayesdfa' extends conventional\ndynamic factor models in several ways. First, extreme events\nmay be estimated in the latent trend by modeling process error\nwith a student-t distribution. Second, alternative constraints\n(including proportions are allowed). Third, the estimated\ndynamic factors can be analyzed with hidden Markov models to\nevaluate support for latent regimes.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "URL": "https://fate-ewi.github.io/bayesdfa/",
  "BugReports": "https://github.com/fate-ewi/bayesdfa/issues",
  "RoxygenNote": "7.3.2",
  "VignetteBuilder": "knitr",
  "SystemRequirements": "GNU make",
  "Biarch": "true",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-29 10:45:20 UTC",
    "User": "root"
  },
  "Author": "Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A.\nDamiano [aut], Michael J. Malick [aut], Philina A. English\n[aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D.\nScheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri\n[ctb], Trustees of Columbia University [cph]",
  "Maintainer": "Eric J. Ward <eric.ward@noaa.gov>",
  "Config/pak/sysreqs": "make",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-03-22 20:30:21 UTC",
  "RemoteUrl": "https://github.com/cran/bayesdfa",
  "RemoteRef": "HEAD",
  "RemoteSha": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
  "_user": "cran",
  "_type": "src",
  "_file": "bayesdfa_1.3.4.tar.gz",
  "_fileid": "https://r2.ropensci.org/3b1b6f89b2ab8bf867afe40738c878ee589b3022e256db3a9fdf6b8f55e19434",
  "_filesize": 1843995,
  "_sha256": "3b1b6f89b2ab8bf867afe40738c878ee589b3022e256db3a9fdf6b8f55e19434",
  "_expires": "2027-02-06T11:00:41.000Z",
  "_created": "2026-10-29T10:45:20.000Z",
  "_published": "2026-10-29T11:00:42.817Z",
  "_upstream": "https://github.com/cran/bayesdfa",
  "_status": "success",
  "_maintainer": {
    "name": "Eric J. Ward",
    "email": "eric.ward@noaa.gov",
    "login": "ericward-noaa",
    "linkedin": "in/eric-ward-42b76b3",
    "description": "Statistics, fisheries, conservation biology @ Northwest Fisheries Science Center, Seattle WA ",
    "uuid": 5046884
  },
  "_jobs": [
    {
      "job": 123402730881,
      "time": 434,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12891791599"
    },
    {
      "job": 123402730866,
      "time": 520,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12892016187"
    },
    {
      "job": 123402730769,
      "time": 425,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12892205581"
    },
    {
      "job": 123402730824,
      "time": 507,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12891408577"
    },
    {
      "job": 123396101089,
      "time": 799,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12891576517"
    },
    {
      "job": 123402730978,
      "time": 298,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12891691603"
    },
    {
      "job": 123402731022,
      "time": 496,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12890984786"
    },
    {
      "job": 123402730945,
      "time": 616,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12892235848"
    },
    {
      "job": 123402730802,
      "time": 545,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12892415497"
    },
    {
      "job": 123402730926,
      "time": 402,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12891821454"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115",
  "_commit": {
    "id": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
    "author": "Eric J. Ward <eric.ward@noaa.gov>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.3.4\n",
    "time": 1742675421
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "BH",
      "version": ">= 1.66.0",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 0.12.0",
      "role": "LinkingTo"
    },
    {
      "package": "RcppEigen",
      "version": ">= 0.3.3.3.0",
      "role": "LinkingTo"
    },
    {
      "package": "RcppParallel",
      "version": ">= 5.0.1",
      "role": "LinkingTo"
    },
    {
      "package": "rstan",
      "version": ">= 2.26.0",
      "role": "LinkingTo"
    },
    {
      "package": "rstantools",
      "role": "LinkingTo"
    },
    {
      "package": "StanHeaders",
      "version": ">= 2.26.0",
      "role": "LinkingTo"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "loo",
      "version": ">= 2.7.0",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "mgcv",
      "version": ">= 1.8.13",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "version": ">= 0.12.0",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "rstan",
      "version": ">= 2.26.0",
      "role": "Imports"
    },
    {
      "package": "splines",
      "role": "Imports"
    },
    {
      "package": "viridisLite",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "parallel",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "ericward-noaa",
      "count": 14,
      "uuid": 5046884
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 634,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 662,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/bayesdfa"
  },
  "_devurl": "https://github.com/fate-ewi/bayesdfa",
  "_pkgdown": "https://fate-ewi.github.io/bayesdfa/",
  "_searchresults": 108,
  "_topics": [
    "onetbb",
    "cpp"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/bayesdfa.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt"
  ],
  "_homeurl": "https://github.com/fate-ewi/bayesdfa",
  "_realowner": "fate-ewi",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2018-09-19"
    },
    {
      "version": "0.1.1",
      "date": "2018-11-09"
    },
    {
      "version": "0.1.2",
      "date": "2019-03-05"
    },
    {
      "version": "0.1.3",
      "date": "2019-05-22"
    },
    {
      "version": "0.1.5",
      "date": "2020-09-02"
    },
    {
      "version": "0.1.6",
      "date": "2020-09-21"
    },
    {
      "version": "0.1.7",
      "date": "2021-05-04"
    },
    {
      "version": "1.0.0",
      "date": "2021-05-19"
    },
    {
      "version": "1.1.0",
      "date": "2021-05-28"
    },
    {
      "version": "1.2.0",
      "date": "2021-09-28"
    },
    {
      "version": "1.3.1",
      "date": "2023-10-11"
    },
    {
      "version": "1.3.2",
      "date": "2024-01-12"
    },
    {
      "version": "1.3.3",
      "date": "2024-02-26"
    },
    {
      "version": "1.3.4",
      "date": "2025-03-22"
    }
  ],
  "_exports": [
    "dfa_cv",
    "dfa_fitted",
    "dfa_loadings",
    "dfa_trends",
    "find_dfa_trends",
    "find_inverted_chains",
    "find_regimes",
    "find_swans",
    "fit_dfa",
    "fit_regimes",
    "invert_chains",
    "is_converged",
    "loo",
    "plot_fitted",
    "plot_loadings",
    "plot_regime_model",
    "plot_trends",
    "predicted",
    "rotate_trends",
    "sim_dfa",
    "trend_cor"
  ],
  "_help": [
    {
      "page": "bayesdfa-package",
      "title": "The 'bayesdfa' package.",
      "topics": [
        "bayesdfa-package",
        "bayesdfa"
      ]
    },
    {
      "page": "dfa_cv",
      "title": "Apply cross validation to DFA model",
      "topics": [
        "dfa_cv"
      ]
    },
    {
      "page": "dfa_fitted",
      "title": "Get the fitted values from a DFA as a data frame",
      "topics": [
        "dfa_fitted"
      ]
    },
    {
      "page": "dfa_loadings",
      "title": "Get the loadings from a DFA as a data frame",
      "topics": [
        "dfa_loadings"
      ]
    },
    {
      "page": "dfa_trends",
      "title": "Get the trends from a DFA as a data frame",
      "topics": [
        "dfa_trends"
      ]
    },
    {
      "page": "find_dfa_trends",
      "title": "Find the best number of trends according to LOOIC",
      "topics": [
        "find_dfa_trends"
      ]
    },
    {
      "page": "find_inverted_chains",
      "title": "Find which chains to invert",
      "topics": [
        "find_inverted_chains"
      ]
    },
    {
      "page": "find_regimes",
      "title": "Fit multiple models with differing numbers of regimes to trend data",
      "topics": [
        "find_regimes"
      ]
    },
    {
      "page": "find_swans",
      "title": "Find outlying \"black swan\" jumps in trends",
      "topics": [
        "find_swans"
      ]
    },
    {
      "page": "fit_dfa",
      "title": "Fit a Bayesian DFA",
      "topics": [
        "fit_dfa"
      ]
    },
    {
      "page": "fit_regimes",
      "title": "Fit models with differing numbers of regimes to trend data",
      "topics": [
        "fit_regimes"
      ]
    },
    {
      "page": "hmm_init",
      "title": "Create initial values for the HMM model.",
      "topics": [
        "hmm_init"
      ]
    },
    {
      "page": "invert_chains",
      "title": "Invert chains",
      "topics": [
        "invert_chains"
      ]
    },
    {
      "page": "is_converged",
      "title": "Summarize Rhat convergence statistics across parameters",
      "topics": [
        "is_converged"
      ]
    },
    {
      "page": "loo",
      "title": "LOO information criteria",
      "topics": [
        "loo",
        "loo.bayesdfa"
      ]
    },
    {
      "page": "plot_fitted",
      "title": "Plot the fitted values from a DFA",
      "topics": [
        "plot_fitted"
      ]
    },
    {
      "page": "plot_loadings",
      "title": "Plot the loadings from a DFA",
      "topics": [
        "plot_loadings"
      ]
    },
    {
      "page": "plot_regime_model",
      "title": "Plot the state probabilities from 'find_regimes()'",
      "topics": [
        "plot_regime_model"
      ]
    },
    {
      "page": "plot_trends",
      "title": "Plot the trends from a DFA",
      "topics": [
        "plot_trends"
      ]
    },
    {
      "page": "predicted",
      "title": "Calculate predicted value from DFA object",
      "topics": [
        "predicted"
      ]
    },
    {
      "page": "rotate_trends",
      "title": "Rotate the trends from a DFA",
      "topics": [
        "rotate_trends"
      ]
    },
    {
      "page": "sim_dfa",
      "title": "Simulate from a DFA",
      "topics": [
        "sim_dfa"
      ]
    },
    {
      "page": "trend_cor",
      "title": "Estimate the correlation between a DFA trend and some other timeseries",
      "topics": [
        "trend_cor"
      ]
    }
  ],
  "_rundeps": [
    "abind",
    "backports",
    "BH",
    "callr",
    "checkmate",
    "cli",
    "cpp11",
    "desc",
    "distributional",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gridExtra",
    "gtable",
    "inline",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "loo",
    "magrittr",
    "Matrix",
    "matrixStats",
    "mgcv",
    "nlme",
    "numDeriv",
    "otel",
    "pillar",
    "pkgbuild",
    "pkgconfig",
    "plyr",
    "posterior",
    "processx",
    "ps",
    "QuickJSR",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "RcppParallel",
    "reshape2",
    "rlang",
    "rstan",
    "rstantools",
    "S7",
    "scales",
    "StanHeaders",
    "stringi",
    "stringr",
    "tensorA",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libtbb",
      "package": "libtbb12",
      "headers": "libtbb-dev",
      "source": "onetbb",
      "version": "2022.3.0-2",
      "name": "onetbb",
      "homepage": "https://uxlfoundation.github.io/oneTBB/",
      "description": "parallelism library for C++ - runtime files"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "a2_combining_data.Rmd",
      "filename": "a2_combining_data.html",
      "title": "Combining data with bayesdfa",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Example"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2023-10-11 17:30:27",
      "commits": 1
    },
    {
      "source": "a5_estimate_process_sigma.Rmd",
      "filename": "a5_estimate_process_sigma.html",
      "title": "Estimating process trend variability with bayesdfa",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Case 1: unequal trend variability",
        "Candidate models",
        "Recovering loadings",
        "Recovering trends",
        "Summary"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2023-10-11 17:30:27",
      "commits": 1
    },
    {
      "source": "a7_bigdata.Rmd",
      "filename": "a7_bigdata.html",
      "title": "Examples of fitting DFA models with lots of data",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Data simulation",
        "Sampling argument",
        "Posterior optimization",
        "Posterior approximation"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2023-10-11 17:30:27",
      "commits": 1
    },
    {
      "source": "a4_smooth.Rmd",
      "filename": "a4_smooth.html",
      "title": "Examples of fitting smooth trend DFA models",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Data simulation",
        "Estimating trends as B-splines",
        "Estimating trends as P-splines",
        "Estimating trends as Gaussian processes",
        "Comparing approaches"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2023-10-11 17:30:27",
      "commits": 1
    },
    {
      "source": "a3_covariates.Rmd",
      "filename": "a3_covariates.html",
      "title": "Examples of including covariates with bayesdfa",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Notation review for DFA models",
        "Observation covariates",
        "Process covariates",
        "Examples -- observation covariates",
        "Examples -- process covariates"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2023-10-11 17:30:27",
      "commits": 1
    },
    {
      "source": "a6_compositional.Rmd",
      "filename": "a6_compositional.html",
      "title": "Fitting compositional dynamic factor models with bayesdfa",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "2 - trend model",
        "3 - trend model"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2023-10-11 17:30:27",
      "commits": 1
    },
    {
      "source": "a1_bayesdfa.Rmd",
      "filename": "a1_bayesdfa.html",
      "title": "Overview of the bayesdfa package",
      "author": "Eric J. Ward, Sean C. Anderson, Mary E. Hunsicker, Mike A. Litzow, Luis A. Damiano, Mark D. Scheuerell, Elizabeth E. Holmes, Nick Tolimieri",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction to the DFA model",
        "DFA model with no extreme events",
        "DFA model with extreme events",
        "Fitting DFA models with non-Gaussian families",
        "Alternative loadings for DFA models",
        "Including autoregressive (AR) or moving-average (MA) components on trends",
        "Applying Hidden Markov Models to identify latent regimes",
        "DFA model with weights"
      ],
      "created": "2023-10-11 17:30:27",
      "modified": "2024-01-13 02:38:29",
      "commits": 2
    }
  ],
  "_score": 3.8785217955012063,
  "_indexed": false,
  "_nocasepkg": "bayesdfa",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://fate-ewi.r-universe.dev/bayesdfa",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.4",
      "date": "2026-10-29T10:52:11.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/b5a3385f420187f4ce0bec7ed549654bd396b9f878ed4d4bba32c28c03dd93c3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.4",
      "date": "2026-10-29T10:52:46.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/a3b2d6bf49d6947c6566428b29d22add96bd382d77596e47434af6beb9ee6d48",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.3.4",
      "date": "2026-10-29T10:52:09.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/13e5b0ae84bfd740ed85dcc36f02b8385b45d513c1b0baca00f7e83b03430a46",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.3.4",
      "date": "2026-10-29T10:52:31.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/f6af088940c82bd948c34620806f17191e2e400e10967277d54ec2c44db68c5b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.3.4",
      "date": "2026-10-29T10:52:19.000Z",
      "arch": "emscripten",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/783f85b4eecec6c7a57922b56b9fcb3048b2c30cbaedc7fe1e3e45e5f5cf3819",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.3.4",
      "date": "2026-10-29T10:53:05.000Z",
      "arch": "aarch64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/bf0f6695eeb994030fca7043d06d651430df4efc67dd3830d1648c5f70e7e1b9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.3.4",
      "date": "2026-10-29T10:51:22.000Z",
      "arch": "x86_64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/3dc7a9f153a7a7961b7b564f42d6bdf2dc91a4ec0f1e93191dd208948c2bde8e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.3.4",
      "date": "2026-10-29T10:53:55.000Z",
      "arch": "aarch64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/318fa59b850b4f8bc2e94676800628a0d7f723fa3cea07404acbddbfa35c74df",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.3.4",
      "date": "2026-10-29T10:51:17.000Z",
      "arch": "x86_64",
      "commit": "ea7b6165da0a47e101cc57134bc0253811c8bf90",
      "fileid": "https://r2.ropensci.org/7005aeccaf571617df3713fafb393ebc52b5c850c40f06a9b298f071099d3373",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40858309115"
    }
  ]
}