Generating Features for a Cohort R package FeatureExtraction version 3.13.0 An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics. Software Depends: R (>= 3.5.0), DatabaseConnector (>= 3.0.0), Andromeda (>= 1.0.0) Imports: methods, dplyr, rJava, jsonlite, SqlRender (>= 1.18.0), ParallelLogger (>= 2.0.2), cli, pillar, readr, rlang, RSQLite, DBI, checkmate, vroom Suggests: testthat, knitr, rmarkdown, Eunomia (>= 2.0.0), withr, curl, httr Ger Inberg <g.inberg@erasmusmc.nl> Comprehensive R Archive Network (CRAN) Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph] Apache License 2.0 2026-03-06 application/tgz https://CRAN.R-project.org/package=FeatureExtraction doi:10.32614/CRAN.package.FeatureExtraction en-US