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coreval
View on CRAN: Click
here
Download and install coreval package within the R console
Install from CRAN:
install.packages("coreval")
Install from Github:
library("remotes")
install_github("cran/coreval") Install by package version:
library("remotes")
install_version("coreval", "0.3.0") Attach the package and use:
library("coreval")
Maintained by
Hrach Gevorgyan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-15
Latest Update: 2026-09-15
Description:
Finds conformance problems in clinical trial data without leaving R, using the openly published 'CDISC' Open Rules ('CORE'). Check a single dataset while you are still writing the code that builds it, or a whole study folder once it exists, and get the findings back as a tidy data frame pointing at the exact row and variable. Reads transport ('XPT'), 'SAS', comma-separated and 'Dataset-JSON' files, plus 'Define-XML' when present, and 'USDM' study-design documents. Covers rules for the 'SDTM', 'SEND', 'TIG' and 'USDM' standards. The rules are bundled inside the package, so nothing is downloaded and your data never leaves your machine: no internet, no API key, no account. When a rule cannot be checked - because it needs a dataset you did not supply, for instance - it is reported as skipped with the reason, never counted as a pass. Meant as a quick first pass before a qualified validation system, never as a replacement for one. An independent project: not affiliated with or endorsed by 'CDISC', and not a 'CORE'-certified conformance engine.
How to cite:
Hrach Gevorgyan (2026). coreval: Check Clinical Trial Data Against 'CDISC' Open Rules. R package version 0.3.0, https://cran.r-project.org/web/packages/coreval. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-09-15 11:30), 0.1.0 (2026-09-12 14:30)
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