Assess Study Cohorts Using a Common Data Model R package PhenotypeR version 0.5.0 Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research. Software Depends: R (>= 4.1.0) Imports: cli, clock, CodelistGenerator (>= 4.0.2), CohortCharacteristics (>= 1.1.3), CohortConstructor (>= 0.6.2), dplyr, DrugUtilisation (>= 1.1.0), IncidencePrevalence (>= 1.2.0), MeasurementDiagnostics (>= 0.3.0), omopgenerics (>= 1.2.0), OmopSketch (>= 1.0.1), PatientProfiles (>= 1.4.5), purrr, readr, rlang, vctrs Suggests: CDMConnector (>= 1.6.1), duckdb, DBI, gt, omock, testthat (>= 3.0.0), knitr, glue, RPostgres, ggplot2, stringr, shiny (>= 1.11.1), DiagrammeR, DiagrammeRsvg, reactable, rsvg, sortable, shinycssloaders, here, DT, bslib, shinyWidgets, plotly, tidyr, scales, usethis, rmarkdown, CohortSurvival (>= 1.1.0), ellmer, htmltools, visOmopResults (>= 1.4.2), rsconnect, cpp11, progress, qs2, lubridate, systemfonts, officer, fs, OmopConstructor, tools, jsonlite, jsonvalidate, shinyjs Edward Burn <edward.burn@ndorms.ox.ac.uk> Comprehensive R Archive Network (CRAN) Edward Burn [aut, cre] (ORCID: <https://orcid.org/0000-0002-9286-1128>), Martí Català [aut] (ORCID: <https://orcid.org/0000-0003-3308-9905>), Xihang Chen [aut] (ORCID: <https://orcid.org/0009-0001-8112-8959>), Marta Alcalde-Herraiz [aut] (ORCID: <https://orcid.org/0009-0002-4405-1814>), Nuria Mercade-Besora [aut] (ORCID: <https://orcid.org/0009-0006-7948-3747>), Albert Prats-Uribe [aut] (ORCID: <https://orcid.org/0000-0003-1202-9153>) Apache License (>= 2) 2026-05-27 application/tgz https://CRAN.R-project.org/package=PhenotypeR doi:10.32614/CRAN.package.PhenotypeR