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rCoreGage  

Data Quality Check Framework for Clinical and Analytical Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rCoreGage", "1.1.0")



Attach the package and use:
library("rCoreGage")
Maintained by
Ganesh Babu G
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-22
Latest Update: 2026-04-22
Description:
A configuration-driven framework for running domain-level data quality checks and consolidating findings into structured Excel reports with role-based feedback routing. It supports trial-level and study-level checks across multiple data domains. Reports are routed to separate feedback channels for Data Management (DM), Medical Writing (MW), Study Data Tabulation Model (SDTM) programmers, and Analysis Data Model (ADaM) programmers, as well as other relevant data roles. Reviewer responses are incorporated automatically on re-run.
How to cite:
Ganesh Babu G (2026). rCoreGage: Data Quality Check Framework for Clinical and Analytical Data. R package version 1.1.0, https://cran.r-project.org/web/packages/rCoreGage. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 1.0.0 (2026-04-22 15:30)
Other packages that cited rCoreGage R package
View rCoreGage citation profile
Other R packages that rCoreGage depends, imports, suggests or enhances
Complete documentation for rCoreGage
Functions, R codes and Examples using the rCoreGage R package
Full rCoreGage package functions and examples
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