FeatureExtraction: Generating Features for a Cohort

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.

Version:	3.13.0
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
Published:	2026-03-06
DOI:	10.32614/CRAN.package.FeatureExtraction
Author:	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]
Maintainer:	Ger Inberg <g.inberg at erasmusmc.nl>
BugReports:	https://github.com/OHDSI/FeatureExtraction/issues
License:	Apache License 2.0
URL:	https://github.com/OHDSI/FeatureExtraction
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	FeatureExtraction results

Documentation:

Reference manual:	FeatureExtraction.html , FeatureExtraction.pdf
Vignettes:	Creating covariates based on other cohorts (source, R code) Creating covariates using cohort attributes (source, R code) Creating custom covariate builders (source, R code) Creating custom covariate builders (Korean) (source, R code) Using FeatureExtraction (source, R code) Using FeatureExtraction (Korean) (source, R code)

Downloads:

Package source:	FeatureExtraction_3.13.0.tar.gz
Windows binaries:	r-devel: FeatureExtraction_3.13.0.zip, r-release: FeatureExtraction_3.13.0.zip, r-oldrel: FeatureExtraction_3.13.0.zip
macOS binaries:	r-release (arm64): FeatureExtraction_3.13.0.tgz, r-oldrel (arm64): FeatureExtraction_3.13.0.tgz, r-release (x86_64): FeatureExtraction_3.13.0.tgz, r-oldrel (x86_64): FeatureExtraction_3.13.0.tgz
Old sources:	FeatureExtraction archive

Reverse dependencies:

Reverse imports:

Characterization, PatientLevelPrediction

Linking:

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