Clinical Trial Data-Cut Change Detection and Impact Assessment R package trialdiff version 0.2.0 A transparent, rule-based framework for detecting changes between successive data cuts of clinical trial datasets, classifying those changes into clinically meaningful categories, tracing user-defined data lineage, and assessing which downstream analyses and outputs may be affected. The package is designed to complement existing low-level data frame comparison tools by adding clinical-trial-specific classification, lineage and impact-assessment layers on top of deterministic comparison. The rule-based classification is similar in spirit to the data validation infrastructure of van der Loo and de Jonge (2021) <doi:10.18637/jss.v097.i10>. Software Depends: R (>= 4.1) Imports: cli, dplyr, htmltools, jsonlite, rlang, tibble Suggests: admiral, cards, covr, diffdf, haven, igraph, knitr, lintr, metacore, pharmaverseadam, pharmaversesdtm, pkgdown, rmarkdown, rtables, styler, tern, testthat (>= 3.0.0), waldo, withr Hirujan Rangaraj <hirujanrangaraj@gmail.com> Comprehensive R Archive Network (CRAN) Hirujan Rangaraj [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=trialdiff/LICENSE) 2026-09-27 application/tgz https://CRAN.R-project.org/package=trialdiff doi:10.32614/CRAN.package.trialdiff en-GB