{
  "_id": "6a48306fe06c18f0a65301ca",
  "Package": "bayesdfa",
  "Type": "Package",
  "Title": "Bayesian Dynamic Factor Analysis (DFA) with 'Stan'",
  "Version": "1.3.5",
  "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": "7.3.3",
  "VignetteBuilder": "knitr",
  "Roxygen": "list(markdown = TRUE)",
  "SystemRequirements": "GNU make",
  "Biarch": "true",
  "Config/pak/sysreqs": "make libicu-dev",
  "Repository": "https://atsa-es.r-universe.dev",
  "Date/Publication": "2026-05-26 18:04:03 UTC",
  "RemoteUrl": "https://github.com/fate-ewi/bayesdfa",
  "RemoteRef": "HEAD",
  "RemoteSha": "4687b277464b82e6f4148de4ed91437de00fc45c",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-07-03 21:42:45 UTC",
    "User": "root"
  },
  "Author": "Eric J. Ward [aut, cre],\nSean C. Anderson [aut],\nLuis A. Damiano [aut],\nMichael J. Malick [aut],\nPhilina A. English [aut],\nMary E. Hunsicker, [ctb],\nMike A. Litzow [ctb],\nMark D. Scheuerell [ctb],\nElizabeth E. Holmes [ctb],\nNick Tolimieri [ctb],\nTrustees of Columbia University [cph]",
  "Maintainer": "Eric J. Ward <eric.ward@noaa.gov>",
  "_user": "atsa-es",
  "_type": "src",
  "_file": "bayesdfa_1.3.5.tar.gz",
  "_fileid": "https://r2.ropensci.org/a21269c5938d17c290eefb3e9938b6890fca5f68203fab4f31304127aedfa79d",
  "_filesize": 1845437,
  "_sha256": "a21269c5938d17c290eefb3e9938b6890fca5f68203fab4f31304127aedfa79d",
  "_expires": "2026-10-11T21:58:05.000Z",
  "_created": "2026-07-03T21:42:45.000Z",
  "_published": "2026-07-03T21:58:07.164Z",
  "_jobs": [
    {
      "job": 85075127858,
      "time": 486,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8075272362"
    },
    {
      "job": 85075127881,
      "time": 505,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8075275192"
    },
    {
      "job": 85075127901,
      "time": 489,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8075272627"
    },
    {
      "job": 85075127900,
      "time": 513,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8075276649"
    },
    {
      "job": 85075127867,
      "time": 266,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8075235322"
    },
    {
      "job": 85075127834,
      "time": 624,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8075295517"
    },
    {
      "job": 85075127835,
      "time": 424,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8075260959"
    },
    {
      "job": 85075127830,
      "time": 660,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8075301558"
    },
    {
      "job": 85074093509,
      "time": 680,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8075190339"
    },
    {
      "job": 85075127809,
      "time": 189,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "FAIL",
      "artifact": ""
    },
    {
      "job": 85075127818,
      "time": 580,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8075287975"
    },
    {
      "job": 85075127825,
      "time": 486,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8075271653"
    },
    {
      "job": 85075127837,
      "time": 579,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8075287976"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238",
  "_status": "success",
  "_upstream": "https://github.com/fate-ewi/bayesdfa",
  "_commit": {
    "id": "4687b277464b82e6f4148de4ed91437de00fc45c",
    "author": "Eric Ward <5046884+ericward-noaa@users.noreply.github.com>",
    "committer": "Eric Ward <5046884+ericward-noaa@users.noreply.github.com>",
    "message": "Slight bug in chain flipping logic resolved\n",
    "time": 1779818643
  },
  "_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
  },
  "_distro": "resolute",
  "_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": "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"
    },
    {
      "package": "rstantools",
      "role": "Suggests"
    }
  ],
  "_owner": "fate-ewi",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-22",
      "n": 1
    }
  ],
  "_tags": [],
  "_stars": 29,
  "_contributors": [
    {
      "user": "ericward-noaa",
      "count": 315,
      "uuid": 5046884
    },
    {
      "user": "seananderson",
      "count": 193,
      "uuid": 19349
    },
    {
      "user": "eric-ward",
      "count": 43,
      "uuid": 159983626
    },
    {
      "user": "jin-gao",
      "count": 5,
      "uuid": 15019774
    },
    {
      "user": "michaelmalick",
      "count": 3,
      "uuid": 962462
    },
    {
      "user": "andrjohns",
      "count": 2,
      "uuid": 27717896
    },
    {
      "user": "jgabry",
      "count": 2,
      "uuid": 7796803
    },
    {
      "user": "jeroen",
      "count": 1,
      "uuid": 216319
    },
    {
      "user": "k-doering-noaa",
      "count": 1,
      "uuid": 48930335
    }
  ],
  "_userbio": {
    "uuid": 72577611,
    "type": "organization",
    "name": "Applied Time Series Analysis",
    "followers": 40,
    "description": "Time series analysis code, books and teaching material for Applied Time-Series Analysis for Fisheries and Environmental Sciences."
  },
  "_downloads": {
    "count": 1001,
    "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": 126,
  "_topics": [
    "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/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/fate-ewi/bayesdfa",
  "_realowner": "fate-ewi",
  "_cranurl": true,
  "_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"
      ]
    }
  ],
  "_readme": "https://github.com/fate-ewi/bayesdfa/raw/HEAD/README.md",
  "_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",
    "S7",
    "scales",
    "StanHeaders",
    "stringi",
    "stringr",
    "tensorA",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "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": "2023-04-20 07:29:26",
      "modified": "2023-04-24 18:12:27",
      "commits": 2
    },
    {
      "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": "2023-04-20 07:29:26",
      "modified": "2023-04-20 07:29:26",
      "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": "2023-04-20 07:29:26",
      "modified": "2023-04-20 07:29:26",
      "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": "2023-04-20 07:29:26",
      "modified": "2023-04-20 07:29:26",
      "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": "2023-04-20 07:29:26",
      "modified": "2023-04-20 07:29:26",
      "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": "2023-04-20 07:29:26",
      "modified": "2023-04-20 07:29:26",
      "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": "2023-04-20 07:29:26",
      "modified": "2023-12-07 17:21:10",
      "commits": 5
    }
  ],
  "_score": 8.010360651838058,
  "_indexed": false,
  "_nocasepkg": "bayesdfa",
  "_universes": [
    "atsa-es"
  ],
  "_indexurl": "https://fate-ewi.r-universe.dev/bayesdfa",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:36.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/8c77e2e97c46af31dfe7f4a92721626679d4481c04c668eb645786696b3fc449",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:23.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/46268a04f29dd14036cdea5a5347971154ee0dbe636f3c6e9c32759ab67de220",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:59.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/247f13f7613257ebae131312d4a81bf55573c9ed3895273b81c772f13746e656",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:23.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/71d3b9c60c29a948a92d3d7f2c30f5c607ffe3361ed5dddc1654f2f501832af5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.3.5",
      "date": "2026-07-03T21:47:58.000Z",
      "arch": "aarch64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/b717dc0e75a99797630c60b046eddfc515fe67711d8ef7ffaa34371463bc2bec",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:31.000Z",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/b3d3909dc7388077ca1e52b969a26aa529579c826f67191aee3041640926549a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.3.5",
      "date": "2026-07-03T21:48:23.000Z",
      "arch": "aarch64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/a551b42566a0b199bd4d0259e467f281c558f38510968d0216b37ea4faa22d04",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:19.000Z",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/7d6ea3418d4d9d050176b45f118e34cbf72c3f31cea60b12605a6e69a5b48c76",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.3.5",
      "date": "2026-07-03T21:49:06.000Z",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/93c09dcdc5a4dacf4338867bfdc4bf4356bf5416e801b91b2726eddc54abf43d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.3.5",
      "date": "2026-07-03T21:48:05.000Z",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/90b5a8ed70eb0532dfd57b5d57c53c4cb9c5021be71874e26f5ad68eb43cc0bf",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.3.5",
      "date": "2026-07-03T21:48:08.000Z",
      "arch": "x86_64",
      "commit": "4687b277464b82e6f4148de4ed91437de00fc45c",
      "fileid": "https://r2.ropensci.org/e59b705f239540cdb139aa5fc56fa30c94ba8905b80acb3b268ad4e324e0909d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/atsa-es/actions/runs/28684346238"
    }
  ]
}