{
  "_id": "6a12e2b1acfb0bcc41d23d4b",
  "Package": "swash",
  "Type": "Package",
  "Title": "Health Geography Toolbox for Model-Based Analysis of Infections\nPanel Data",
  "Version": "2.0.1",
  "Date": "2026-05-22",
  "Authors@R": "person(\"Thomas\", \"Wieland\", role = c(\"aut\", \"cre\"),\nemail = \"geowieland@googlemail.com\",\ncomment = c(ORCID = \"0000-0001-5168-9846\"))",
  "Author": "Thomas Wieland [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5168-9846>)",
  "Maintainer": "Thomas Wieland <geowieland@googlemail.com>",
  "Description": "Within epidemic outbreaks, infections grow and decline\ndifferently between regions, and the velocity of spatial spread\ndiffers between countries. The swash library offers a set of\nmodel-based analyses for these topics. Spread velocity may be\nanalysed with the Swash-Backwash Model for the Single Epidemic\nWave and corresponding functions for bootstrap confidence\nintervals, country comparison, and visualization of results.\nDifferences in epidemic growth between regions may be analysed\nusing logistic growth models, exponential growth models, Hawkes\nprocesses and breakpoint analyses. All functionalities are\naccessed by the class \"infpan\" for infections panel data\ndefined in this package, which is built from a data.frame\nprovided by the user.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-24 11:31:59 UTC",
    "User": "root"
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  "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev",
  "Repository": "https://geowieland.r-universe.dev",
  "Date/Publication": "2026-05-24 08:50:02 UTC",
  "RemoteUrl": "https://github.com/cran/swash",
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    "manual.pdf"
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  "_realowner": "geowieland",
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  "_releases": [
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      "date": "2025-02-13"
    },
    {
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      "date": "2025-02-24"
    },
    {
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    },
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  "_exports": [
    "as_balanced",
    "binary_metrics",
    "binary_metrics_glm",
    "breaks_growth",
    "calculate_cum",
    "calculate_incidence",
    "calculate_rollmean",
    "calculate_rollsum",
    "calculate_Rt",
    "compare_countries",
    "confint",
    "exponential_growth",
    "growth",
    "growth_breaks",
    "growth_hawkes",
    "growth_initial",
    "hawkes_growth",
    "hist_ci",
    "is_balanced",
    "load_infections_paneldata",
    "logistic_growth",
    "metrics",
    "nbmatrix",
    "nbstat",
    "plot",
    "plot_coef_ci",
    "print",
    "quantile_ci",
    "R_t",
    "summary",
    "swash",
    "swash_backwash",
    "timestamps"
  ],
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    {
      "name": "C19dNUTSdata",
      "title": "Regional cumulative COVID-19 deaths",
      "object": "C19dNUTSdata",
      "file": "C19dNUTSdata.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "NUTS_ID",
        "CNTR_CODE",
        "NUTS_Level",
        "NUTS2_ID",
        "NUTS1_ID",
        "NUTS_Name",
        "C19deaths",
        "pop2020",
        "C19deaths_per100000",
        "annotation"
      ],
      "rows": 1143,
      "table": true,
      "tojson": true
    },
    {
      "name": "COVID19Cases_geoRegion",
      "title": "Switzerland Daily COVID-19 cases by region",
      "object": "COVID19Cases_geoRegion",
      "file": "COVID19Cases_geoRegion.rda",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "geoRegion",
        "datum",
        "entries",
        "sumTotal",
        "timeframe_14d",
        "timeframe_all",
        "offset_last7d",
        "sumTotal_last7d",
        "offset_last14d",
        "sumTotal_last14d",
        "offset_last28d",
        "sumTotal_last28d",
        "sum7d",
        "sum14d",
        "mean7d",
        "mean14d",
        "entries_diff_last_age",
        "pop",
        "inz_entries",
        "inzsumTotal",
        "inzmean7d",
        "inzmean14d",
        "inzsumTotal_last7d",
        "inzsumTotal_last14d",
        "inzsumTotal_last28d",
        "inzsum7d",
        "inzsum14d",
        "sumdelta7d",
        "inzdelta7d",
        "type",
        "type_variant",
        "version",
        "datum_unit",
        "entries_letzter_stand",
        "entries_neu_gemeldet",
        "entries_diff_last"
      ],
      "rows": 30247,
      "table": true,
      "tojson": true
    },
    {
      "name": "did_fatalities_splm_coef",
      "title": "Results from a Difference-in-Differences Model",
      "object": "did_fatalities_splm_coef",
      "file": "did_fatalities_splm_coef.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Var",
        "Estimate",
        "Std_Error_Bonferroni",
        "t_value_Bonferroni",
        "Pr_t_Bonferroni",
        "CI_lower_Bonferroni",
        "CI_upper_Bonferroni"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "Infections",
      "title": "Infections",
      "object": "Infections",
      "file": "Infections.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "infectedtest_CW2",
        "infection_date",
        "infections_daily",
        "infections_daily_lwr",
        "infections_daily_upr",
        "infections_cum",
        "infections_cum_lwr",
        "infections_cum_upr",
        "R4",
        "R4_lwr",
        "R4_upr",
        "R7",
        "R7_lwr",
        "R7_upr",
        "onsets_of_symptoms",
        "onsets_of_symptoms_lwr",
        "onsets_of_symptoms_upr",
        "reported_cases",
        "day",
        "ln_inf_cum",
        "ln_inf_daily",
        "ln_R4",
        "ln_R7",
        "infection_date_CW",
        "infection_date_CW2",
        "infectedtest_CW",
        "conducted_tests",
        "negative_tests",
        "positive_tests",
        "positive_tests_share",
        "conducted_tests_index",
        "conducted_tests_dailyaverage",
        "positive_tests_dailyaverage",
        "infections_daily_testweighted",
        "ln_inf_daily_tw"
      ],
      "rows": 107,
      "table": true,
      "tojson": true
    },
    {
      "name": "Oesterreich_Faelle",
      "title": "Austria Daily COVID-19 cases by region 2020-02-26 to 2020-05-31",
      "object": "Oesterreich_Faelle",
      "file": "Oesterreich_Faelle.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "NUTS3",
        "Datum",
        "Faelle"
      ],
      "rows": 3360,
      "table": true,
      "tojson": true
    },
    {
      "name": "RKI_Corona_counties",
      "title": "German Counties with COVID-19 Cases",
      "object": "RKI_Corona_counties",
      "file": "RKI_Corona_counties.rda",
      "class": [
        "sf",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "OBJECTID",
        "ADE",
        "GF",
        "BSG",
        "RS",
        "AGS",
        "SDV_RS",
        "GEN",
        "BEZ",
        "IBZ",
        "BEM",
        "NBD",
        "SN_L",
        "SN_R",
        "SN_K",
        "SN_V1",
        "SN_V2",
        "SN_G",
        "FK_S3",
        "NUTS",
        "RS_0",
        "AGS_0",
        "WSK",
        "EWZ",
        "KFL",
        "DEBKG_ID",
        "Shape__Are",
        "Shape__Len",
        "death_rate",
        "cases",
        "deaths",
        "cases_per_",
        "cases_pe_1",
        "BL",
        "BL_ID",
        "county",
        "last_updat",
        "geometry"
      ],
      "rows": 412,
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "swash-package",
      "title": "swash: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data",
      "topics": [
        "swash-package"
      ]
    },
    {
      "page": "as_balanced",
      "title": "Correction of Non-balanced Panel Dataset with Regional Infection Data",
      "topics": [
        "as_balanced"
      ]
    },
    {
      "page": "binary_metrics",
      "title": "Fit metrics of observed and expected binary variables",
      "topics": [
        "binary_metrics"
      ]
    },
    {
      "page": "binary_metrics_glm",
      "title": "Fit metrics for binary logit model",
      "topics": [
        "binary_metrics_glm"
      ]
    },
    {
      "page": "breaks_growth",
      "title": "Time Series Model with Breakpoints",
      "topics": [
        "breaks_growth"
      ]
    },
    {
      "page": "breaksgrowth-class",
      "title": "Class '\"breaksgrowth\"'",
      "topics": [
        "breaksgrowth-class",
        "plot,breaksgrowth-method",
        "print,breaksgrowth-method",
        "show,breaksgrowth-method",
        "summary,breaksgrowth-method"
      ]
    },
    {
      "page": "C19dNUTSdata",
      "title": "Regional cumulative COVID-19 deaths",
      "topics": [
        "C19dNUTSdata"
      ]
    },
    {
      "page": "calculate_cum",
      "title": "Cumulative Infection Numbers",
      "topics": [
        "calculate_cum"
      ]
    },
    {
      "page": "calculate_cum-method",
      "title": "Methods for Function 'calculate_cum'",
      "topics": [
        "calculate_cum,infpan-method",
        "calculate_cum-methods"
      ]
    },
    {
      "page": "calculate_incidence",
      "title": "Incidence from Infection Numbers",
      "topics": [
        "calculate_incidence"
      ]
    },
    {
      "page": "calculate_incidence-method",
      "title": "Methods for Function 'calculate_incidence'",
      "topics": [
        "calculate_incidence,infpan-method",
        "calculate_incidence-methods"
      ]
    },
    {
      "page": "calculate_rollmean",
      "title": "Rolling Means of Infection Numbers",
      "topics": [
        "calculate_rollmean"
      ]
    },
    {
      "page": "calculate_rollmean-method",
      "title": "Methods for Function 'calculate_rollmean'",
      "topics": [
        "calculate_rollmean,infpan-method",
        "calculate_rollmean-methods"
      ]
    },
    {
      "page": "calculate_rollsum",
      "title": "Rolling Sums of Infection Numbers",
      "topics": [
        "calculate_rollsum"
      ]
    },
    {
      "page": "calculate_rollsum-method",
      "title": "Methods for Function 'calculate_rollsum'",
      "topics": [
        "calculate_rollsum,infpan-method",
        "calculate_rollsum-methods"
      ]
    },
    {
      "page": "calculate_Rt",
      "title": "Effective Reproduction Number",
      "topics": [
        "calculate_Rt"
      ]
    },
    {
      "page": "calculate_Rt-method",
      "title": "Methods for Function 'calculate_Rt'",
      "topics": [
        "calculate_Rt,infpan-method",
        "calculate_Rt-methods"
      ]
    },
    {
      "page": "compare_countries",
      "title": "Two-country Comparison of Swash-Backwash Model Parameters",
      "topics": [
        "compare_countries"
      ]
    },
    {
      "page": "confint-methods",
      "title": "Methods for Function 'confint'",
      "topics": [
        "confint-methods"
      ]
    },
    {
      "page": "countries-class",
      "title": "Class '\"countries\"'",
      "topics": [
        "countries-class",
        "plot,countries-method",
        "print,countries-method",
        "show,countries-method",
        "summary,countries-method"
      ]
    },
    {
      "page": "COVID19Cases_geoRegion",
      "title": "Switzerland Daily COVID-19 cases by region",
      "topics": [
        "COVID19Cases_geoRegion"
      ]
    },
    {
      "page": "did_fatalities_splm_coef",
      "title": "Results from a Difference-in-Differences Model",
      "topics": [
        "did_fatalities_splm_coef"
      ]
    },
    {
      "page": "expgrowth-class",
      "title": "Class '\"expgrowth\"'",
      "topics": [
        "expgrowth-class",
        "print,expgrowth-method",
        "show,expgrowth-method",
        "summary,expgrowth-method"
      ]
    },
    {
      "page": "exponential_growth",
      "title": "Exponential Growth Model for Epidemic Data",
      "topics": [
        "exponential_growth"
      ]
    },
    {
      "page": "growth",
      "title": "Logistic Growth Models for Regional Infections",
      "topics": [
        "growth"
      ]
    },
    {
      "page": "growth_breaks",
      "title": "Time Series Model with Breakpoints for Regional Infections",
      "topics": [
        "growth_breaks"
      ]
    },
    {
      "page": "growth_breaks-methods",
      "title": "Methods for Function 'growth_breaks'",
      "topics": [
        "growth_breaks,infpan-method",
        "growth_breaks-methods"
      ]
    },
    {
      "page": "growth_hawkes",
      "title": "Hawkes Processs models for Regional Infections",
      "topics": [
        "growth_hawkes"
      ]
    },
    {
      "page": "growth_hawkes-methods",
      "title": "Methods for Function 'growth_hawkes'",
      "topics": [
        "growth_hawkes,infpan-method",
        "growth_hawkes-methods"
      ]
    },
    {
      "page": "growth_initial",
      "title": "Exponential Growth Models for Regional Infections",
      "topics": [
        "growth_initial"
      ]
    },
    {
      "page": "growth_initial-methods",
      "title": "Methods for Function 'growth_initial'",
      "topics": [
        "growth_initial,infpan-method",
        "growth_initial-methods"
      ]
    },
    {
      "page": "growth-methods",
      "title": "Methods for Function 'growth'",
      "topics": [
        "growth,infpan-method",
        "growth-methods"
      ]
    },
    {
      "page": "growthmodels-class",
      "title": "Class '\"growthmodels\"'",
      "topics": [
        "growthmodels-class",
        "print,growthmodels-method",
        "show,growthmodels-method",
        "summary,growthmodels-method"
      ]
    },
    {
      "page": "hawkes_growth",
      "title": "Hawkes Process Model for Epidemic Data",
      "topics": [
        "hawkes_growth"
      ]
    },
    {
      "page": "hawkes-class",
      "title": "Class '\"hawkes\"'",
      "topics": [
        "hawkes-class",
        "plot,hawkes-method",
        "print,hawkes-method",
        "show,hawkes-method",
        "summary,hawkes-method"
      ]
    },
    {
      "page": "hist_ci",
      "title": "Creating Histograms with Confidence Intervals",
      "topics": [
        "hist_ci"
      ]
    },
    {
      "page": "Infections",
      "title": "Infections",
      "topics": [
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