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FeatureExtraction

3.14.0Package record

Generating Features for a Cohort

3packages dependsuggested by 1
16.2Kdownloads / year
84.3%test coverage
13/13flavors OK

Overview

About

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.

Changes in 3.14.0

New Features:

  • Added minCharacterizationCount (#318)
  • Add pre-specified features for observation.value_as_number (#325)

Bugfixes:

  • Colums can switch when directly inserting covariates into a table (#326)

Other:

  • Updated custom covariate builder vignette with regard to target variables (#327)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 14.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-10-18
  • ERROR11 OK, 2 ERROR2026-10-09
  • OK13 OK2026-09-29
  • ERROR12 OK, 1 ERROR2026-09-04
  • OK13 OK2026-08-05
Show 10 earlier changesHide 10 earlier changes
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-24
  • ERROR12 OK, 1 ERROR2026-05-17
  • OK13 OK2026-05-15
  • ERROR12 OK, 1 ERROR2026-05-13
  • OK14 OK2026-04-06
  • ERROR13 OK, 1 ERROR2026-04-04
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.14.0
READMEYes · 269 wordsVignettesYes · 6 · dynamicNEWSYes · 33% structured · mentions 3.14.0Citation fileNo
Help pages
35 (1 internal)includes a package overview page
Examples that run
15%4 run in a plain check · 23 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
90%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

16.2K
CRAN downloads in the past year
Rank #3,411 · ~44/day · ~1.3K/mo
Daily download trend is not available in this view yet.
1.4K30 days
3.2K90 days
16.2K1 year
Compare downloads with other packages →
Also on221 r2u4 autocran

Repository

74Stars
64Forks
51Open issues
8Open PRs
21Releases
601Commits
38Commit identities
hades
601 commits · Last activity 2026-06-28 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
94%
Median days to close, 50 most recently updated closed issues
50
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-10-14 · 702026-07-14 · 74
PracticesBeta

9 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/ohdsi/featureextraction on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (1)
PR template
Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-06-28

Coverage (1)
Coverage reporting
Show all practicesHide 2 practices
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)

Installing FeatureExtraction adds 55 packages (32 with compiled code, 37 MB of source tarballs). Heaviest: stringi 11 MB, duckdb 4.6 MB, RSQLite 4.2 MB.

LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect
Depends 1 · Imports 2
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (7)
Author, Maintainer since 3.5.2 (2024)
Releases (12)

Pick two releases to compare their code metrics.

Package metadata

First published
2024-05-01
Total releases
12 / 2 yrs
License
Apache License 2.0 OSI
Minimum R
≥ 3.5.0
Download size
1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FeatureExtraction")
Inberg, G., Observational Health Data Science and Informatics, Reps, J., Ryan, P., Schuemie, M., Sena, A., & Suchard, M. (2026). FeatureExtraction: Generating Features for a Cohort (Version 3.14.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FeatureExtraction

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FeatureExtraction version 3.14.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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