{
  "_id": "6a1e7a351d7bb097a0a647e0",
  "Package": "r4pde",
  "Type": "Package",
  "Title": "Companion to R for Plant Disease Epidemiology Book",
  "Version": "0.1.0",
  "Authors@R": "person(given = \"Emerson\", family = \"Del Ponte\", email = \"delponte@ufv.br\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4398-409X\"))",
  "Description": "Datasets and utility functions to support the book \"R for\nPlant Disease Epidemiology\" (R4PDE). It includes functions for\nquantifying disease, assessing spatial patterns, and modeling\nplant disease epidemics based on weather predictors. These\ntools are intended for teaching and research in plant disease\nepidemiology. Several functions are based on classical and\ncontemporary methods, including those discussed in Laurence V.\nMadden, Gareth Hughes, and Frank van den Bosch (2007)\n<doi:10.1094/9780890545058>.",
  "License": "MIT + file LICENSE",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "BugReports": "https://github.com/emdelponte/r4pde/issues",
  "URL": "https://emdelponte.github.io/r4pde/,\nhttps://github.com/emdelponte/r4pde",
  "Config/pak/sysreqs": "cmake libgdal-dev gdal-bin libgeos-dev libglpk-dev\nmake libicu-dev libxml2-dev libssl-dev libproj-dev\nlibsqlite3-dev libx11-dev",
  "Repository": "https://emdelponte.r-universe.dev",
  "Date/Publication": "2026-05-03 23:37:02 UTC",
  "RemoteUrl": "https://github.com/emdelponte/r4pde",
  "RemoteRef": "HEAD",
  "RemoteSha": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-02 06:30:42 UTC",
    "User": "root"
  },
  "Author": "Emerson Del Ponte [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-4398-409X>)",
  "Maintainer": "Emerson Del Ponte <delponte@ufv.br>",
  "MD5sum": "2667ee8acaf17eadeee848f7311e0be4",
  "_user": "emdelponte",
  "_type": "src",
  "_file": "r4pde_0.1.0.tar.gz",
  "_fileid": "3162a369375d26ce4ae3338458d2da63c3191cd6a15edf41cf347516301ba8d7",
  "_filesize": 716390,
  "_sha256": "3162a369375d26ce4ae3338458d2da63c3191cd6a15edf41cf347516301ba8d7",
  "_created": "2026-06-02T06:30:42.000Z",
  "_published": "2026-06-02T06:37:41.226Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79012853353,
      "time": 242,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "7350596913"
    },
    {
      "job": 79012853365,
      "time": 286,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "WARNING",
      "artifact": "7350608231"
    },
    {
      "job": 79012853369,
      "time": 196,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "7350625945"
    },
    {
      "job": 79012853348,
      "time": 191,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "WARNING",
      "artifact": "7350577088"
    },
    {
      "job": 79012353100,
      "time": 228,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7350534519"
    },
    {
      "job": 79012853382,
      "time": 141,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7350570462"
    },
    {
      "job": 79012853378,
      "time": 196,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "7350584940"
    },
    {
      "job": 79012853368,
      "time": 250,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "7350599152"
    },
    {
      "job": 79012853399,
      "time": 173,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "WARNING",
      "artifact": "7350578724"
    }
  ],
  "_buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/emdelponte/r4pde",
  "_commit": {
    "id": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
    "author": "Emerson M. Del Ponte <edelponte@gmail.com>",
    "committer": "Emerson M. Del Ponte <edelponte@gmail.com>",
    "message": "feat: implement functional principal component analysis (FPCA) for disease progress curves\n",
    "time": 1777851422
  },
  "_maintainer": {
    "name": "Emerson Del Ponte",
    "email": "delponte@ufv.br",
    "login": "emdelponte",
    "linkedin": "in/emerson-m-del-ponte-61678ba1",
    "description": "Professor of Plant Pathology\nDepartamento de Fitopatologia\nUniversidade Federal de Viçosa\nViçosa, MG Brazil ",
    "uuid": 16880798,
    "orcid": "0000-0003-4398-409X"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "boot",
      "role": "Imports"
    },
    {
      "package": "car",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "role": "Imports"
    },
    {
      "package": "lubridate",
      "role": "Imports"
    },
    {
      "package": "mgcv",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "nasapower",
      "role": "Imports"
    },
    {
      "package": "progress",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "httr",
      "role": "Imports"
    },
    {
      "package": "jsonlite",
      "role": "Imports"
    },
    {
      "package": "terra",
      "role": "Imports"
    },
    {
      "package": "interval",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "ggdendro",
      "role": "Suggests"
    },
    {
      "package": "patchwork",
      "role": "Suggests"
    },
    {
      "package": "cowplot",
      "role": "Suggests"
    },
    {
      "package": "ncdf4",
      "role": "Suggests"
    }
  ],
  "_owner": "emdelponte",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-25",
      "n": 1
    },
    {
      "week": "2025-26",
      "n": 3
    },
    {
      "week": "2025-27",
      "n": 2
    },
    {
      "week": "2026-01",
      "n": 1
    },
    {
      "week": "2026-02",
      "n": 3
    },
    {
      "week": "2026-06",
      "n": 10
    },
    {
      "week": "2026-07",
      "n": 3
    },
    {
      "week": "2026-08",
      "n": 5
    },
    {
      "week": "2026-14",
      "n": 2
    },
    {
      "week": "2026-17",
      "n": 8
    },
    {
      "week": "2026-18",
      "n": 2
    }
  ],
  "_tags": [],
  "_topics": [
    "botanical-epidemiology",
    "data-analysis",
    "data-analysis-r",
    "epidemics",
    "rlang"
  ],
  "_stars": 5,
  "_contributors": [
    {
      "user": "emdelponte",
      "count": 110,
      "uuid": 16880798
    },
    {
      "user": "adamhsparks",
      "count": 1,
      "uuid": 3195906
    }
  ],
  "_userbio": {
    "uuid": 16880798,
    "type": "user",
    "name": "Emerson M. Del Ponte",
    "description": "Professor of Plant Pathology\r\nDepartamento de Fitopatologia\r\nUniversidade Federal de Viçosa\r\nViçosa, MG Brazil "
  },
  "_downloads": {
    "count": 235,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/r4pde"
  },
  "_devurl": "https://github.com/emdelponte/r4pde",
  "_pkgdown": "https://emdelponte.github.io/r4pde/",
  "_searchresults": 145,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/r4pde.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/emdelponte/r4pde",
  "_realowner": "emdelponte",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2025-07-02"
    }
  ],
  "_exports": [
    "AFSD",
    "augment_functional_pca",
    "autoplot.r4pde_functional_pca",
    "BPL",
    "compare_curves",
    "CompMuCens",
    "count_subareas",
    "count_subareas_random",
    "diagnose_curves",
    "DSI",
    "DSI2",
    "fit_gradients",
    "functional_curves",
    "functional_distances",
    "functional_instability",
    "functional_pca",
    "functional_pca_clusters",
    "functional_resistance",
    "get_brdwgd",
    "get_era5",
    "get_fpca_eigenfunctions",
    "get_fpca_scores",
    "get_fpca_variance",
    "get_nasapower",
    "join_count",
    "oruns_test",
    "oruns_test_boustrophedon",
    "oruns_test_byrowcol",
    "plot_AFSD",
    "plot_curves",
    "plot_dendrogram",
    "plot_diagnostics",
    "plot_functional_instability",
    "reconstruct_curves",
    "suggest_k",
    "theme_r4pde",
    "windowpane",
    "windowpane_tests"
  ],
  "_datasets": [
    {
      "name": "BlastWheat",
      "title": "BlastWheat dataset",
      "object": "BlastWheat",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "study",
        "year",
        "location",
        "state",
        "latitude",
        "longitude",
        "heading",
        "inc_mean",
        "index_mean",
        "yld_mean"
      ],
      "rows": 143,
      "table": true,
      "tojson": true
    },
    {
      "name": "BudBlightSoybean",
      "title": "BudBlightSoybean dataset",
      "object": "BudBlightSoybean",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "treat",
        "time",
        "block",
        "y"
      ],
      "rows": 64,
      "table": true,
      "tojson": true
    },
    {
      "name": "DidymellaWatermelon",
      "title": "DidymellaWatermelon dataset",
      "object": "DidymellaWatermelon",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "dap",
        "NS_col",
        "EW_row",
        "severity"
      ],
      "rows": 1344,
      "table": true,
      "tojson": true
    },
    {
      "name": "FHBWheat",
      "title": "FHBWheat dataset",
      "object": "FHBWheat",
      "class": [
        "grouped_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "season",
        "field",
        "quadrat",
        "n",
        "i"
      ],
      "rows": 3060,
      "table": true,
      "tojson": true
    },
    {
      "name": "FusariumBanana",
      "title": "FusariumBanana dataset",
      "object": "FusariumBanana",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "lon",
        "lat",
        "marker",
        "field"
      ],
      "rows": 163,
      "table": true,
      "tojson": true
    },
    {
      "name": "RustSoybean",
      "title": "RustSoybean dataset",
      "object": "RustSoybean",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "epidemia",
        "latitude",
        "longitude",
        "local",
        "planting",
        "detection",
        "severity"
      ],
      "rows": 34,
      "table": true,
      "tojson": true
    },
    {
      "name": "SpatialAggregated",
      "title": "SpatialAggregated dataset",
      "object": "SpatialAggregated",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x",
        "y"
      ],
      "rows": 208,
      "table": true,
      "tojson": true
    },
    {
      "name": "SpatialRandom",
      "title": "SpatialRandom dataset",
      "object": "SpatialRandom",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "x",
        "y"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "WhiteMoldSoybean",
      "title": "WhiteMoldSoybean dataset",
      "object": "WhiteMoldSoybean",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "study",
        "treat",
        "season",
        "harvest_year",
        "location",
        "state",
        "country",
        "elevation",
        "region",
        "elevation_class",
        "inc_check",
        "inc_class",
        "yld_check",
        "yld_class",
        "inc",
        "scl",
        "yld"
      ],
      "rows": 382,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "AFSD",
      "title": "Analysis of foci structure and dynamics (AFSD)",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "AFSD"
      ]
    },
    {
      "page": "augment_functional_pca",
      "title": "Augment functional PCA",
      "topics": [
        "augment_functional_pca"
      ]
    },
    {
      "page": "BlastWheat",
      "title": "BlastWheat dataset",
      "topics": [
        "BlastWheat"
      ]
    },
    {
      "page": "BPL",
      "title": "Binary Power Law Analysis for Spatial Disease Patterns",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "BPL"
      ]
    },
    {
      "page": "BudBlightSoybean",
      "title": "BudBlightSoybean dataset",
      "topics": [
        "BudBlightSoybean"
      ]
    },
    {
      "page": "compare_curves",
      "title": "Compare epidemic curves using GAM smoothing, functional distances, clustering, and optional permutation/bootstrapping",
      "topics": [
        "compare_curves"
      ]
    },
    {
      "page": "CompMuCens",
      "title": "Survival analysis for quantitative ordinal scale data",
      "concept": [
        "Disease quantification"
      ],
      "topics": [
        "CompMuCens"
      ]
    },
    {
      "page": "count_subareas",
      "title": "Count the Number of Ones in Subareas of a Matrix",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "count_subareas"
      ]
    },
    {
      "page": "count_subareas_random",
      "title": "Random Subgrid Sampling of a Binary Matrix",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "count_subareas_random"
      ]
    },
    {
      "page": "diagnose_curves",
      "title": "Diagnostic tools for functional epidemic curve models",
      "topics": [
        "diagnose_curves"
      ]
    },
    {
      "page": "DidymellaWatermelon",
      "title": "DidymellaWatermelon dataset",
      "topics": [
        "DidymellaWatermelon"
      ]
    },
    {
      "page": "DSI",
      "title": "Calculate the Disease Severity Index (DSI) (class for each unit)",
      "concept": [
        "Disease quantification"
      ],
      "topics": [
        "DSI"
      ]
    },
    {
      "page": "DSI2",
      "title": "Calculate the Disease severity Index (DSI) (frequency of each class)",
      "concept": [
        "Disease quantification"
      ],
      "topics": [
        "DSI2"
      ]
    },
    {
      "page": "FHBWheat",
      "title": "FHBWheat dataset",
      "topics": [
        "FHBWheat"
      ]
    },
    {
      "page": "fit_gradients",
      "title": "Fit Gradient Models to Data",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "fit_gradients"
      ]
    },
    {
      "page": "functional_curves",
      "title": "Fit genotype-specific epidemic trajectories using GAM",
      "topics": [
        "functional_curves"
      ]
    },
    {
      "page": "functional_distances",
      "title": "Compute pairwise functional distances and cluster curves",
      "topics": [
        "functional_distances"
      ]
    },
    {
      "page": "functional_instability",
      "title": "Normalized functional instability from compare_curves output",
      "topics": [
        "functional_instability"
      ]
    },
    {
      "page": "functional_pca",
      "title": "Functional principal component analysis of disease progress curves",
      "topics": [
        "functional_pca"
      ]
    },
    {
      "page": "functional_pca_clusters",
      "title": "Cluster curves based on FPCA scores",
      "topics": [
        "functional_pca_clusters"
      ]
    },
    {
      "page": "functional_resistance",
      "title": "Compute functional resistance and stability-adjusted functional resistance",
      "topics": [
        "functional_resistance"
      ]
    },
    {
      "page": "FusariumBanana",
      "title": "FusariumBanana dataset",
      "topics": [
        "FusariumBanana"
      ]
    },
    {
      "page": "get_brdwgd",
      "title": "Fetch BR-DWGD Data for Multiple Locations",
      "concept": [
        "Disease modeling"
      ],
      "topics": [
        "get_brdwgd"
      ]
    },
    {
      "page": "get_era5",
      "title": "Fetch ERA5 Data from Open-Meteo for Multiple Locations",
      "concept": [
        "Disease modeling"
      ],
      "topics": [
        "get_era5"
      ]
    },
    {
      "page": "get_fpca_eigenfunctions",
      "title": "Get FPCA eigenfunctions",
      "topics": [
        "get_fpca_eigenfunctions"
      ]
    },
    {
      "page": "get_fpca_scores",
      "title": "Get FPCA scores",
      "topics": [
        "get_fpca_scores"
      ]
    },
    {
      "page": "get_fpca_variance",
      "title": "Get FPCA variance explained",
      "topics": [
        "get_fpca_variance"
      ]
    },
    {
      "page": "get_nasapower",
      "title": "Fetch NASA POWER Data for Multiple Locations with a Progress Bar",
      "concept": [
        "Disease modeling"
      ],
      "topics": [
        "get_nasapower"
      ]
    },
    {
      "page": "join_count",
      "title": "Test for Spatial Join Count Statistics",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "join_count"
      ]
    },
    {
      "page": "oruns_test",
      "title": "Runs Test",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "oruns_test"
      ]
    },
    {
      "page": "oruns_test_boustrophedon",
      "title": "Boustrophedon Run Test for Binary Matrix",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "oruns_test_boustrophedon"
      ]
    },
    {
      "page": "oruns_test_byrowcol",
      "title": "Runs Test for Each Row and Column of a Binary Matrix",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "oruns_test_byrowcol"
      ]
    },
    {
      "page": "plot_AFSD",
      "title": "Plot ASFD",
      "concept": [
        "Spatial analysis"
      ],
      "topics": [
        "plot_AFSD"
      ]
    },
    {
      "page": "plot_curves",
      "title": "Plot environment-adjusted epidemic curves by cluster",
      "topics": [
        "plot_curves"
      ]
    },
    {
      "page": "plot_dendrogram",
      "title": "Plot functional dendrogram of epidemic curves",
      "topics": [
        "plot_dendrogram"
      ]
    },
    {
      "page": "plot_diagnostics",
      "title": "Plot diagnostics for functional epidemic curve models",
      "topics": [
        "plot_diagnostics"
      ]
    },
    {
      "page": "plot_functional_instability",
      "title": "Plot method for functional instability results",
      "topics": [
        "plot_functional_instability"
      ]
    },
    {
      "page": "plot.functional_curves",
      "title": "Plot functional_curves",
      "topics": [
        "plot.functional_curves"
      ]
    },
    {
      "page": "plot.r4pde_compare_curves",
      "title": "Plot method for compare_curves objects",
      "topics": [
        "plot.r4pde_compare_curves"
      ]
    },
    {
      "page": "plot.r4pde_functional_pca",
      "title": "Plot functional PCA results",
      "topics": [
        "plot.r4pde_functional_pca"
      ]
    },
    {
      "page": "print.functional_curves",
      "title": "Print functional_curves",
      "topics": [
        "print.functional_curves"
      ]
    },
    {
      "page": "print.functional_distances",
      "title": "Print functional_distances",
      "topics": [
        "print.functional_distances"
      ]
    },
    {
      "page": "print.functional_resistance",
      "title": "Print functional_resistance",
      "topics": [
        "print.functional_resistance"
      ]
    },
    {
      "page": "print.r4pde_curve_diagnostics",
      "title": "Print method for curve diagnostics",
      "topics": [
        "print.r4pde_curve_diagnostics"
      ]
    },
    {
      "page": "print.suggest_k",
      "title": "Print method for suggest_k",
      "topics": [
        "print.suggest_k"
      ]
    },
    {
      "page": "reconstruct_curves",
      "title": "Reconstruct curves using specified FPCA components",
      "topics": [
        "reconstruct_curves"
      ]
    },
    {
      "page": "RustSoybean",
      "title": "RustSoybean dataset",
      "topics": [
        "RustSoybean"
      ]
    },
    {
      "page": "SpatialAggregated",
      "title": "SpatialAggregated dataset",
      "topics": [
        "SpatialAggregated"
      ]
    },
    {
      "page": "SpatialRandom",
      "title": "SpatialRandom dataset",
      "topics": [
        "SpatialRandom"
      ]
    },
    {
      "page": "suggest_k",
      "title": "Suggest GAM smoothing parameters for epidemic curve models",
      "topics": [
        "suggest_k"
      ]
    },
    {
      "page": "theme_r4pde",
      "title": "Custom ggplot2 theme based on cowplot::theme_half_open",
      "concept": [
        "Miscellaneous"
      ],
      "topics": [
        "theme_r4pde"
      ]
    },
    {
      "page": "WhiteMoldSoybean",
      "title": "WhiteMoldSoybean dataset",
      "topics": [
        "WhiteMoldSoybean"
      ]
    },
    {
      "page": "windowpane",
      "title": "Window Pane for Epidemiological Analysis",
      "concept": [
        "Disease modeling"
      ],
      "topics": [
        "windowpane"
      ]
    },
    {
      "page": "windowpane_tests",
      "title": "Windowpane Tests for Correlation Analysis",
      "topics": [
        "windowpane_tests"
      ]
    }
  ],
  "_pkglogo": "https://github.com/emdelponte/r4pde/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/emdelponte/r4pde/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "askpass",
    "backports",
    "bit",
    "bit64",
    "boot",
    "broom",
    "car",
    "carData",
    "cli",
    "clipr",
    "colorspace",
    "cowplot",
    "cpp11",
    "crayon",
    "crul",
    "curl",
    "Deriv",
    "doBy",
    "dplyr",
    "farver",
    "forecast",
    "Formula",
    "fracdiff",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "hms",
    "httpcode",
    "httr",
    "igraph",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "lme4",
    "lmtest",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mgcv",
    "microbenchmark",
    "mime",
    "minqa",
    "modelr",
    "nasapower",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "openssl",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "prettyunits",
    "progress",
    "purrr",
    "quantreg",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "readr",
    "reformulas",
    "rlang",
    "S7",
    "scales",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "sys",
    "terra",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "timeDate",
    "triebeard",
    "tzdb",
    "urca",
    "urltools",
    "utf8",
    "vctrs",
    "viridisLite",
    "vroom",
    "withr",
    "yyjsonr",
    "zoo"
  ],
  "_score": 5.600700696065237,
  "_indexed": true,
  "_nocasepkg": "r4pde",
  "_universes": [
    "emdelponte"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-02T06:33:38.000Z",
      "distro": "noble",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "d9f2479eafb07a01ee68d74878671a6b82c80f9ebb5b483b291b3c885fdc25f2",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-02T06:34:14.000Z",
      "distro": "noble",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "5dbcdffe005319f88b0a72663a0ca3558e6560ab7ba1373ad162d781eaf52fde",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-06-02T06:35:59.000Z",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "d478bcc73faa2e0d146d49c3ff35a90957b4889085d5303992386a41598b880c",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-06-02T06:32:58.000Z",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "f146a1bde17c6faf96a83ac6c3b547c671b0f3c342c11b78e6d99c7b341a040b",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-06-02T06:33:30.000Z",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "20e0b09ce11d15b4e927b18f568acdae9cd988fce5b8be20cb92193e569d35b0",
      "status": "success",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-06-02T06:32:24.000Z",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "48327d071bcda4669e6b17ea6895e02204cf3fc730af48f288efa9ee301339f3",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-06-02T06:32:33.000Z",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "f7369eca8653bb64486693c08e6b67b77f1586dac131a07d49e63e5a674f26b3",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-06-02T06:32:15.000Z",
      "commit": "26a483f821ebc568b3f7d2491dad3e9ccb2214da",
      "fileid": "bf78b65e38836e4090894fc5879223471ba10edc1b0c9ef585088969744644a7",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/26802574201"
    }
  ]
}