CDMConnector: Connect to an OMOP Common Data Model

Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.

Version: 1.1.2
Depends: R (≥ 4.0)
Imports: dplyr, DBI (≥ 0.3.0), checkmate, dbplyr, cli, purrr, rlang, tidyselect, readr, glue, waldo, methods, withr, lifecycle, jsonlite, stringr, stringi, fs, generics, tidyr, pool
Suggests: arrow, SqlRender, rJava, covr, knitr, rmarkdown, duckdb, RSQLite, RPostgres, odbc, ggplot2, bigrquery, testthat (≥ 3.0.0), DatabaseConnector, lubridate, tibble, zeallot
Enhances: CirceR, Capr
Published: 2023-08-23
Author: Adam Black ORCID iD [aut, cre], Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut]
Maintainer: Adam Black <black at>
License: Apache License (≥ 2)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: CDMConnector results


Reference manual: CDMConnector.pdf
Vignettes: Getting Started
Working with cohorts
CDMConnector and dbplyr
DBI connection examples
CDM reference backends
Using CDM attributes


Package source: CDMConnector_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CDMConnector_1.1.2.tgz, r-oldrel (arm64): CDMConnector_1.1.2.tgz, r-release (x86_64): CDMConnector_1.1.2.tgz, r-oldrel (x86_64): CDMConnector_1.1.2.tgz
Old sources: CDMConnector archive

Reverse dependencies:

Reverse imports: CodelistGenerator, DrugExposureDiagnostics, DrugUtilisation, IncidencePrevalence, PatientProfiles
Reverse suggests: TreatmentPatterns


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