TreatmentPatterns/DESCRIPTION at main · darwin-eu-dev/TreatmentPatterns · GitHub

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Package: TreatmentPatterns
Type: Package
Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Version: 3.1.2
Authors@R:
    c(person("Aniek", "Markus", , role = c("aut"), comment = c(ORCID = "0000-0001-5779-4794")),
      person("Maarten", "van Kessel", email = "m.l.vankessel@erasmusmc.nl", role = c("cre"), comment = c(ORCID = "0009-0006-8832-6030")))
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Description:
    Computes treatment patterns within a given cohort using the Observational
    Medical Outcomes Partnership (OMOP) common data model (CDM). As described
    in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
URL: https://github.com/darwin-eu/TreatmentPatterns, https://darwin-eu-dev.github.io/TreatmentPatterns/
BugReports: https://github.com/darwin-eu/TreatmentPatterns/issues
Language: en-US
Depends:
    R (>= 4.2)
Imports:
    utils,
    stats,
    R6,
    stringi,
    jsonlite,
    checkmate,
    dplyr,
    tidyr,
    dbplyr,
    Andromeda,
    CDMConnector (>= 2.2.0)
Suggests:
    knitr,
    rmarkdown,
    tibble,
    testthat (>= 3.0.0),
    usethis,
    Eunomia,
    DatabaseConnector (>= 7.0.0),
    SqlRender,
    CohortGenerator,
    ResultModelManager,
    webshot2,
    CirceR,
    duckdb,
    DBI,
    withr,
    plotly,
    sunburstR,
    networkD3,
    ggplot2,
    htmlwidgets,
    visOmopResults,
    PaRe
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/testthat/parallel: true
Roxygen: list(markdown = TRUE)
Collate:
    'CDMInterface.R'
    'TreatmentPatterns-package.R'
    'TreatmentPatternsResults.R'
    'attrition.R'
    'computePathways.R'
    'constructPathways.R'
    'createSankeyDiagram.R'
    'createSunburstPlot.R'
    'executeTreatmentPatterns.R'
    'export.R'
    'exportPatientLevel.R'
    'getResultsDataModelSpecification.R'
    'ggSunburst.R'
    'plotEventDuration.R'
    'utils.R'