Analyzes Real-World Treatment Patterns of a Study Population of Interest R package TreatmentPatterns version 3.1.2 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>. Software 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 Maarten van Kessel <m.l.vankessel@erasmusmc.nl> Comprehensive R Archive Network (CRAN) Aniek Markus [aut] (ORCID: <https://orcid.org/0000-0001-5779-4794>), Maarten van Kessel [cre] (ORCID: <https://orcid.org/0009-0006-8832-6030>) Apache License (>= 2) 2026-02-10 application/tgz https://CRAN.R-project.org/package=TreatmentPatterns doi:10.32614/CRAN.package.TreatmentPatterns en-US