{
  "_id": "6a103c8dacfb0bcc41c9bf32",
  "Package": "modeltime.resample",
  "Title": "Resampling Tools for Time Series Forecasting",
  "Version": "0.3.0.9000",
  "Authors@R": "c(\nperson(\"Matt\", \"Dancho\", email = \"mdancho@business-science.io\", role = c(\"aut\", \"cre\")),\nperson(\"Business Science\", role = \"cph\")\n)",
  "Description": "A 'modeltime' extension that implements forecast\nresampling tools that assess time-based model performance and\nstability for a single time series, panel data, and\ncross-sectional time series analysis.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "URL": "https://business-science.github.io/modeltime.resample/,\nhttps://github.com/business-science/modeltime.resample",
  "BugReports": "https://github.com/business-science/modeltime.resample/issues",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libxml2-dev\nlibssl-dev libnode-dev libx11-dev",
  "Repository": "https://business-science.r-universe.dev",
  "Date/Publication": "2025-09-03 21:46:48 UTC",
  "RemoteUrl": "https://github.com/business-science/modeltime.resample",
  "RemoteRef": "HEAD",
  "RemoteSha": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 10:18:41 UTC",
    "User": "root"
  },
  "Author": "Matt Dancho [aut, cre],\nBusiness Science [cph]",
  "Maintainer": "Matt Dancho <mdancho@business-science.io>",
  "MD5sum": "313c2371e2142ee6481bbcd6a916d016",
  "_user": "business-science",
  "_type": "src",
  "_file": "modeltime.resample_0.3.0.9000.tar.gz",
  "_fileid": "900e938962392217b005ec0b053254fd6cf0940794e8130c54a2cc05ad7cfcce",
  "_filesize": 2310388,
  "_sha256": "900e938962392217b005ec0b053254fd6cf0940794e8130c54a2cc05ad7cfcce",
  "_created": "2026-05-11T10:18:41.000Z",
  "_published": "2026-05-22T11:22:53.706Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77369453114,
      "time": 275,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6915987479"
    },
    {
      "job": 77369453176,
      "time": 271,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6915988618"
    },
    {
      "job": 77369453606,
      "time": 207,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6915978802"
    },
    {
      "job": 77369453270,
      "time": 146,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6915989139"
    },
    {
      "job": 77369452553,
      "time": 340,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6915896569"
    },
    {
      "job": 77369452554,
      "time": 195,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7159299871"
    },
    {
      "job": 77369453155,
      "time": 232,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6915973841"
    },
    {
      "job": 77369453562,
      "time": 236,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6915976323"
    },
    {
      "job": 77369452998,
      "time": 186,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6915959434"
    }
  ],
  "_buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/business-science/modeltime.resample",
  "_commit": {
    "id": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
    "author": "Matt Dancho <mdancho@gmail.com>",
    "committer": "Matt Dancho <mdancho@gmail.com>",
    "message": "bump version 0.3.0.9000, add news\n",
    "time": 1756936008
  },
  "_maintainer": {
    "name": "Matt Dancho",
    "email": "mdancho@business-science.io",
    "login": "mdancho84",
    "twitter": "@mdancho84",
    "uuid": 13734662
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "modeltime",
      "version": ">= 0.3.0",
      "role": "Depends"
    },
    {
      "package": "R",
      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "tune",
      "version": ">= 2.0.0",
      "role": "Imports"
    },
    {
      "package": "rsample",
      "role": "Imports"
    },
    {
      "package": "workflows",
      "role": "Imports"
    },
    {
      "package": "recipes",
      "role": "Imports"
    },
    {
      "package": "yardstick",
      "role": "Imports"
    },
    {
      "package": "timetk",
      "version": ">= 2.5.0",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.4.0",
      "role": "Imports"
    },
    {
      "package": "plotly",
      "role": "Imports"
    },
    {
      "package": "cli",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 0.1.2",
      "role": "Imports"
    },
    {
      "package": "progressr",
      "role": "Imports"
    },
    {
      "package": "tictoc",
      "role": "Imports"
    },
    {
      "package": "hardhat",
      "role": "Imports"
    },
    {
      "package": "withr",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "tidymodels",
      "role": "Suggests"
    },
    {
      "package": "tidyquant",
      "role": "Suggests"
    },
    {
      "package": "glmnet",
      "role": "Suggests"
    },
    {
      "package": "lubridate",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "business-science",
  "_selfowned": true,
  "_usedby": 2,
  "_updates": [
    {
      "week": "2025-35",
      "n": 5
    },
    {
      "week": "2025-36",
      "n": 3
    }
  ],
  "_tags": [
    {
      "name": "v0.2.4",
      "date": "2025-08-28"
    },
    {
      "name": "v0.3.0",
      "date": "2025-09-03"
    }
  ],
  "_topics": [
    "accuracy-metrics",
    "backtesting",
    "bootstrap",
    "bootstrapping",
    "cross-validation",
    "forecasting",
    "modeltime",
    "modeltime-resample",
    "resampling",
    "statistics",
    "tidymodels",
    "time-series"
  ],
  "_stars": 22,
  "_contributors": [
    {
      "user": "mdancho84",
      "count": 85,
      "uuid": 13734662
    },
    {
      "user": "olivroy",
      "count": 4,
      "uuid": 52606734
    },
    {
      "user": "albertoalmuinha",
      "count": 1,
      "uuid": 34541991
    },
    {
      "user": "hfrick",
      "count": 1,
      "uuid": 12950918
    }
  ],
  "_userbio": {
    "uuid": 26503379,
    "type": "organization",
    "name": "Business Science",
    "description": "Applying data science to business & financial analysis, tw: @bizScienc"
  },
  "_downloads": {
    "count": 650,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/modeltime.resample"
  },
  "_devurl": "https://github.com/business-science/modeltime.resample",
  "_pkgdown": "https://business-science.github.io/modeltime.resample/",
  "_searchresults": 45,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/modeltime.resample.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/business-science/modeltime.resample",
  "_realowner": "business-science",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2020-11-05"
    },
    {
      "version": "0.2.0",
      "date": "2021-03-14"
    },
    {
      "version": "0.2.1",
      "date": "2022-06-07"
    },
    {
      "version": "0.2.2",
      "date": "2022-10-18"
    },
    {
      "version": "0.2.3",
      "date": "2023-04-12"
    },
    {
      "version": "0.2.4",
      "date": "2025-08-28"
    },
    {
      "version": "0.3.0",
      "date": "2025-09-03"
    }
  ],
  "_exports": [
    ":=",
    ".data",
    "%>%",
    "as_label",
    "as_name",
    "enquo",
    "enquos",
    "expr",
    "get_target_text_from_resamples",
    "mdl_time_fit_resamples",
    "modeltime_fit_resamples",
    "modeltime_resample_accuracy",
    "plot_modeltime_resamples",
    "plot_time_series_cv_plan",
    "sym",
    "syms",
    "time_series_cv",
    "time_series_split",
    "tk_time_series_cv_plan",
    "unnest_modeltime_resamples"
  ],
  "_datasets": [
    {
      "name": "m750_training_resamples_fitted",
      "title": "Time Series Cross Validation Resample Predictions (Results) from the M750 Data (Training Set)",
      "object": "m750_training_resamples_fitted",
      "class": [
        "mdl_time_tbl",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        ".model_id",
        ".model",
        ".model_desc",
        ".resample_results"
      ],
      "rows": 3,
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "get_target_text_from_resamples",
      "title": "Gets the target variable as text from unnested resamples",
      "topics": [
        "get_target_text_from_resamples"
      ]
    },
    {
      "page": "m750_training_resamples_fitted",
      "title": "Time Series Cross Validation Resample Predictions (Results) from the M750 Data (Training Set)",
      "topics": [
        "m750_training_resamples_fitted"
      ]
    },
    {
      "page": "modeltime_fit_resamples",
      "title": "Fits Models in a Modeltime Table to Resamples",
      "topics": [
        "modeltime_fit_resamples"
      ]
    },
    {
      "page": "modeltime_resample_accuracy",
      "title": "Calculate Accuracy Metrics from Modeltime Resamples",
      "topics": [
        "modeltime_resample_accuracy"
      ]
    },
    {
      "page": "plot_modeltime_resamples",
      "title": "Interactive Resampling Accuracy Plots",
      "topics": [
        "plot_modeltime_resamples"
      ]
    },
    {
      "page": "unnest_modeltime_resamples",
      "title": "Unnests the Results of Modeltime Fit Resamples",
      "topics": [
        "unnest_modeltime_resamples"
      ]
    }
  ],
  "_pkglogo": "https://github.com/business-science/modeltime.resample/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/business-science/modeltime.resample/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "anytime",
    "askpass",
    "backports",
    "base64enc",
    "BH",
    "bigD",
    "bit",
    "bit64",
    "bitops",
    "broom",
    "bslib",
    "cachem",
    "callr",
    "checkmate",
    "class",
    "cli",
    "clipr",
    "clock",
    "codetools",
    "colorspace",
    "commonmark",
    "conflicted",
    "cpp11",
    "crayon",
    "crosstalk",
    "curl",
    "data.table",
    "desc",
    "diagram",
    "dials",
    "DiceDesign",
    "digest",
    "distributional",
    "doParallel",
    "dplyr",
    "dygraphs",
    "evaluate",
    "extraDistr",
    "farver",
    "fastmap",
    "fontawesome",
    "forcats",
    "foreach",
    "forecast",
    "fracdiff",
    "fs",
    "furrr",
    "future",
    "future.apply",
    "GauPro",
    "generics",
    "ggplot2",
    "globals",
    "glue",
    "gower",
    "gridExtra",
    "gt",
    "gtable",
    "hardhat",
    "highr",
    "hms",
    "htmltools",
    "htmlwidgets",
    "httr",
    "infer",
    "inline",
    "ipred",
    "isoband",
    "iterators",
    "janitor",
    "jquerylib",
    "jsonlite",
    "juicyjuice",
    "KernSmooth",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lava",
    "lazyeval",
    "lbfgs",
    "lifecycle",
    "listenv",
    "litedown",
    "lmtest",
    "loo",
    "lubridate",
    "magrittr",
    "markdown",
    "MASS",
    "Matrix",
    "matrixStats",
    "memoise",
    "mime",
    "mixopt",
    "modeldata",
    "modelenv",
    "modeltime",
    "nlme",
    "nnet",
    "numDeriv",
    "openssl",
    "otel",
    "padr",
    "parallelly",
    "parsnip",
    "patchwork",
    "pillar",
    "pkgbuild",
    "pkgconfig",
    "plotly",
    "posterior",
    "prettyunits",
    "processx",
    "prodlim",
    "progress",
    "progressr",
    "promises",
    "prophet",
    "ps",
    "purrr",
    "quadprog",
    "quantmod",
    "QuickJSR",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppParallel",
    "RcppRoll",
    "reactable",
    "reactR",
    "readr",
    "recipes",
    "rlang",
    "rmarkdown",
    "rpart",
    "rsample",
    "rstan",
    "rstantools",
    "rstudioapi",
    "S7",
    "sass",
    "scales",
    "sfd",
    "shape",
    "slider",
    "snakecase",
    "sparsevctrs",
    "splitfngr",
    "SQUAREM",
    "StanHeaders",
    "stringi",
    "stringr",
    "survival",
    "sys",
    "tailor",
    "tensorA",
    "tibble",
    "tictoc",
    "tidymodels",
    "tidyr",
    "tidyselect",
    "timechange",
    "timeDate",
    "timetk",
    "tinytex",
    "tseries",
    "tsfeatures",
    "TTR",
    "tune",
    "tzdb",
    "urca",
    "utf8",
    "V8",
    "vctrs",
    "viridisLite",
    "vroom",
    "warp",
    "withr",
    "workflows",
    "workflowsets",
    "xfun",
    "xgboost",
    "xml2",
    "xts",
    "yaml",
    "yardstick",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "getting-started.Rmd",
      "filename": "getting-started.html",
      "title": "Getting Started with Modeltime Resample",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Single Time Series",
        "Getting Started Setup",
        "Step 1 - Make a Cross-Validation Training Plan",
        "Step 2 - Make a Modeltime Table",
        "Step 3 - Generate Resample Predictions",
        "Step 4 - Evaluate the Results",
        "Accuracy Plot",
        "Accuracy Table",
        "Wrapup"
      ],
      "created": "2020-10-14 17:43:35",
      "modified": "2024-01-04 19:52:15",
      "commits": 5
    },
    {
      "source": "panel-data.Rmd",
      "filename": "panel-data.html",
      "title": "Resampling Panel Data",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Panel Data Tutorial Overview",
        "Libraries",
        "Data",
        "Data Preparation",
        "Resampling Panel Data",
        "Modeling",
        "Recipe",
        "Models",
        "Prophet",
        "XGBoost",
        "Prophet Boost",
        "Organize in a Modeltime Table",
        "Assess a Single Resample Split",
        "Quantifying Prediction Error Over Time",
        "Apply Models to Resamples",
        "Evaluate Resample Accuracy",
        "Resample Accuracy Plot",
        "Resample Accuracy Table",
        "Model Selection",
        "Wrapup"
      ],
      "created": "2020-10-17 18:43:05",
      "modified": "2025-09-03 12:52:11",
      "commits": 14
    }
  ],
  "_score": 7.551937695364837,
  "_indexed": true,
  "_nocasepkg": "modeltime.resample",
  "_universes": [
    "business-science",
    "mdancho84"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:22:10.000Z",
      "distro": "noble",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "dcf1d55f38797d897c694345ea771b2ac41fe2331d9ce0871e66b948640ecd48",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:22:15.000Z",
      "distro": "noble",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "f6107ef0bec78e398185b0491d7d58149b226ae551663a61d39b5733b7c1b211",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:21:52.000Z",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "a18047157ad5134b8652da84fb88f9dd42000b8ea623729518d1553da2165577",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:22:46.000Z",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "dc385b88bb05dd409401a556953fcb02077a98de165275a8c683661752c7d335",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:21:12.000Z",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "204b1d518b7484b94ca9c0d27af5598f37318f8140ce62b76847f207368b0cde",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:21:28.000Z",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "1b8edad59551f648aa824e55d1a41f0f6868ffc6a3583af2b9e6cf955d189777",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.3.0.9000",
      "date": "2026-05-11T10:20:38.000Z",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "39cb8b13c4839193e1dac7b8361125bb0b5bbacde243ebc18fb42a9e5f1f94b1",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.3.0.9000",
      "date": "2026-05-22T11:22:30.000Z",
      "commit": "27637d4a40b98c4b6a084b96e2e5a294e89e51de",
      "fileid": "e322f7658163830fee5db434a97e374f539638db0be56ebd61adb4e3e593eec7",
      "status": "success",
      "buildurl": "https://github.com/r-universe/business-science/actions/runs/25663987779"
    }
  ]
}