Package: CDMConnector 2.5.0

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.
Authors:
CDMConnector_2.5.0.tar.gz
CDMConnector_2.5.0.zip(r-4.7)CDMConnector_2.5.0.zip(r-4.6)CDMConnector_2.5.0.zip(r-4.5)
CDMConnector_2.5.0.tgz(r-4.6-any)CDMConnector_2.5.0.tgz(r-4.5-any)
CDMConnector_2.5.0.tar.gz(r-4.7-any)CDMConnector_2.5.0.tar.gz(r-4.6-any)
CDMConnector_2.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CDMConnector/json (API)
NEWS
| # Install 'CDMConnector' in R: |
| install.packages('CDMConnector', repos = c('https://darwin-eu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/darwin-eu/cdmconnector/issues
Pkgdown/docs site:https://darwin-eu.github.io
Last updated from:1569ef993e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 333 | ||
| source / vignettes | OK | 251 | ||
| linux-release-x86_64 | OK | 336 | ||
| macos-release-arm64 | OK | 301 | ||
| macos-oldrel-arm64 | OK | 228 | ||
| windows-devel | OK | 321 | ||
| windows-release | OK | 370 | ||
| windows-oldrel | OK | 345 | ||
| wasm-release | OK | 131 |
Exports:%>%appendPermanentasDateattritionbenchmarkCDMConnectorbindcdmCommentContentscdmConcdmDisconnectcdmFlattencdmFromCohortSetcdmFromConcdmFromTablescdmNamecdmReferencecdmSamplecdmSelectcdmSubsetcdmSubsetCohortcdmVersioncdmWriteSchemacohdSimilarConceptscohortCodelistcohortCountcomputecomputeDataHashByTablecomputeQuerycopyCdmTodateadddatediffdatepartdbmsdbSourcedownloadEunomiaDatadropSourceTabledropTableeunomiaDireunomiaIsAvailableexampleDatasetsgenerateCohortSetgenerateCohortSet2generateConceptCohortSetinSchemainsertCdmToinsertTablelistSourceTableslistTablesnewCohortTablereadCohortSetreadSourceTablerecordCohortAttritionrequireEunomiasettingssnapshotsourceTypesummariseQuantilesummariseQuantile2tblGroupuniqueTableNameversion
Dependencies:askpassbackportsbitbit64blobcheckmateclicliprcpp11crayoncurlDBIdbplyrdplyrgenericsgluehmshttrjsonlitelifecyclemagrittrmimeomopgenericsopensslpillarpkgconfigprettyunitsprogresspurrrR6readrrlangsnakecasestringistringrsystibbletidyrtidyselecttzdbutf8vctrsvroomwithr
CDMConnector and dbplyr
Rendered froma03_dbplyr.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2025-02-10
Started: 2023-03-06
DAG-Based Batch Optimization for Cohort SQL Generation
Rendered froma07_batch-optimization.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2026-03-09
Started: 2026-03-08
DBI connection examples
Rendered froma04_DBI_connection_examples.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2026-02-12
Started: 2023-03-06
Getting Started
Rendered froma01_getting-started.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2025-07-10
Started: 2023-03-06
Incremental DAG Caching for Cohort Generation
Rendered froma08_dag-caching.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2026-03-08
Started: 2026-03-08
Multi-Database Benchmarking: Old vs New Cohort Generation
Rendered froma09_benchmarking.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2026-03-08
Started: 2026-03-08
Using CDM attributes
Rendered froma06_using_cdm_attributes.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2025-02-10
Started: 2023-08-01
Working with cohorts
Rendered froma02_cohorts.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2025-07-10
Started: 2024-01-22
