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omopr  

OMOP CDM Databases using the Tidyverse
View on CRAN: Click here


Download and install omopr package within the R console
Install from CRAN:
install.packages("omopr")

Install from Github:
library("remotes")
install_github("cran/omopr")

Install by package version:
library("remotes")
install_version("omopr", "0.2")



Attach the package and use:
library("omopr")
Maintained by
Darren Wilkinson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-25
Latest Update:
Description:
Utility functions for querying electronic health record EHR data inOMOP Common Data Model httpswww.ohdsi.orgdata-standardizationthe-common-data-modeldatabases using a tidyverse approach based on dbplyr lazy queries.This allows efficient in-database querying and data wrangling without explicitwriting of SQL queries.
How to cite:
Darren Wilkinson (2020). omopr: OMOP CDM Databases using the Tidyverse. R package version 0.2, https://cran.r-project.org/web/packages/omopr. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2 (2020-06-25 10:40)
Other packages that cited omopr R package
View omopr citation profile
Other R packages that omopr depends, imports, suggests or enhances
Functions, R codes and Examples using the omopr R package
Some associated functions: concept_names . omopr_init . row_counts . 
Some associated R codes: concept_names.R . dummy.R . omopr_init.R . row_counts.R .  Full omopr package functions and examples
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