Package: CohortGenerator
Type: Package
Title: Cohort Generation for the OMOP Common Data Model
Version: 1.1.0
Date: 2026-03-02
Authors@R: c(
  person("Anthony", "Sena", email = "sena@ohdsi.org", role = c("aut", "cre")),
  person("Jamie", "Gilbert", role = c("aut")),
  person("Gowtham", "Rao", email = "gowthamrao@gmail.com", role = c("aut")),
  person("Freddy", "Avila Cruz", role = c("aut")),
  person("Martijn", "Schuemie", email = "schuemie@ohdsi.org", role = c("aut")),
  person("Observational Health Data Science and Informatics", role = c("cph"))
  )
Maintainer: Anthony Sena <sena@ohdsi.org>
Description: Generate cohorts and subsets using an Observational
        Medical Outcomes Partnership (OMOP) Common Data Model (CDM)
        Database. Cohorts are defined using 'CIRCE'
        (<https://github.com/ohdsi/circe-be>) or SQL compatible with
        'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Depends: DatabaseConnector (>= 5.0.0), R (>= 4.1.0), R6
Imports: checkmate, digest, dplyr, lubridate, methods, ParallelLogger
        (>= 3.0.0), readr (>= 2.1.0), rlang, jsonlite,
        ResultModelManager (>= 0.6.0), SqlRender (>= 1.11.1), stringi
        (>= 1.7.6), tibble
Suggests: CirceR (>= 1.1.1), duckdb, Eunomia, ggplot2, knitr,
        rmarkdown, testthat, withr, zip
License: Apache License
VignetteBuilder: knitr
URL: https://ohdsi.github.io/CohortGenerator/,
        https://github.com/OHDSI/CohortGenerator
BugReports: https://github.com/OHDSI/CohortGenerator/issues
RoxygenNote: 7.3.3
Encoding: UTF-8
Language: en-US
LazyData: true
Config/pak/sysreqs: make default-jdk libicu-dev libxml2-dev libx11-dev
Repository: https://ohdsi.r-universe.dev
Date/Publication: 2026-03-02 20:24:17 UTC
RemoteUrl: https://github.com/ohdsi/cohortgenerator
RemoteRef: HEAD
RemoteSha: 62a8a0ba25d290e3fae67ecc5604e344a0e0e4a2
NeedsCompilation: no
Packaged: 2026-06-29 06:28:29 UTC; root
Author: Anthony Sena [aut, cre],
  Jamie Gilbert [aut],
  Gowtham Rao [aut],
  Freddy Avila Cruz [aut],
  Martijn Schuemie [aut],
  Observational Health Data Science and Informatics [cph]