DESCRIPTION

Package: LegendT2dm
Title: Large-Scale Evidence Generation and Evaluation in a Network of Databases
Version: 3.0.0
Author: Marc A. Suchard [aut, cre],
    Martijn J. Schuemie [aut],
    Patrick B. Ryan [aut],
    Fan Bu [aut]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>
Description: Large-Scale Evidence Generation and Evaluation in a Network of Databases
    for Type 2 Diabetes (LEGEND-T2DM) studies the comparative effectiveness and safety
    of second-line T2DM agents.  This systematic, large-scale data experiment follows
    Open Science principles and aims to deliver reliable and actionable healthcare
    information for T2DM stakeholders, including patients, their care-givers and
    physicians.
Depends:
    R (>= 4.0),
    DatabaseConnector (>= 3.0.0)
Imports:
    Cyclops (>= 3.0),
	Andromeda (>= 0.3.2),
	SqlRender (>= 1.6.6),
    FeatureExtraction (>= 3.0.1),
    CohortMethod (>= 4.0.0),
    EmpiricalCalibration (>= 1.4.0),
	MethodEvaluation (>= 2.0.0),
    ParallelLogger (>= 2.0.0),
    CohortDiagnostics (>= 1.1.0),
    CirceR (>= 0.0.1),
    readr (>= 1.4.0),
    tibble,
    plyr,
    dplyr,
    meta,
    diffr,
    purrr,
    survival,
    RJSONIO,
    zip
Suggests:
    testthat,
    ROhdsiWebApi,
    shiny,
    shinydashboard,
    shinyWidgets,
    DT,
    htmltools,
    scales,
    pool,
    tidyr,
    ggiraph,
    stringr,
    LegendT2dmEvidenceExplorer,
    knitr,
    bookdown,
    kableExtra
Remotes:
    ohdsi/FeatureExtraction,
    ohdsi/CohortMethod,
    ohdsi/MethodEvaluation,
    ohdsi/CohortDiagnostics,
    ohdsi/ROhdsiWebApi,
    ohdsi/PhenotypeLibrary,
    ohdsi/CirceR
License: Apache License 2.0
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8