Handy and Minimalistic Common Data Model Characterization
Overview
Extracts covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) domains using an R-only pipeline. Supports configurable temporal windows, domain-specific covariates for drug exposure, drug era (including Anatomical Therapeutic Chemical (ATC) groupings), condition occurrence, condition era, concept sets and cohorts. Methods are based on the Observational Health Data Sciences and Informatics (OHDSI) framework described in Hripcsak et al. (2015) doi:10.1038/sdata.2015.35 and "The Book of OHDSI" OHDSI (2019, ISBN:978-1-7923-0589-8).
Install
Health
- OK13 OK2026-10-18
- ERROR11 OK, 2 ERROR2026-10-09
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
Show 6 earlier changesHide 6 earlier changes
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-28
- ERROR9 OK, 1 ERROR2026-04-24
- OK6 OK2026-04-23
Documentation
- Help pages
- 23 (8 internal)includes a package overview page
- Examples that run
- 25%2 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran) · 3 never run
- Exported functions with examples
- 67%
- Documented parameters
- 84%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing OdysseusCharacterizationModule adds 43 packages (25 with compiled code, 26 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, jsonlite 1.0 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.0.1Latest2026-04-22 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-22
- Total releases
- 1 / 1 yrs
- License
- Apache License (>= 2)
- Minimum R
- ≥ 4.1.0
- Download size
- 99 KB
Cite
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