Validate Patient Cohorts for Real-World Evidence Studies on the OMOP Common Data Model R package rwevalidate version 0.1.2 Validates instantiated patient cohorts on an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) database for real-world-evidence (RWE) studies. From a single function call it produces a structured validation report in Hypertext Markup Language (HTML) and JavaScript Object Notation (JSON) covering concept coverage, cohort attrition, temporal data density, and covariate feasibility against a comparator. The checks are aligned with the United States Food and Drug Administration (FDA) guidance on real-world data and evidence, FDA (2023) <https://www.fda.gov/media/171667/download>, the Harmonized Protocol Template to Enhance Reproducibility (HARPER), Wang and others (2022) <doi:10.1002/pds.5507>, and the Reporting of Studies Conducted Using Observational Routinely-Collected Data for Pharmacoepidemiology (RECORD-PE) statement, Langan and others (2018) <doi:10.1136/bmj.k3532>. A self-contained example database is bundled so the checks can be run without a live database connection. Software Depends: R (>= 4.1) Imports: DBI, RPostgres, jsonlite, rmarkdown, glue, cli, utils Suggests: testthat (>= 3.0.0), duckdb, ggplot2, knitr, covr Hamid Tavakoli <htavakoli@gmail.com> Comprehensive R Archive Network (CRAN) Hamid Tavakoli [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=rwevalidate/LICENSE) 2026-07-21 application/tgz https://CRAN.R-project.org/package=rwevalidate doi:10.32614/CRAN.package.rwevalidate en-US