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lineager  

Row-Level Data Provenance and Exclusion Tracking
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lineager", "0.1.1")



Attach the package and use:
library("lineager")
Maintained by
Ndoh Penn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-20
Latest Update: 2026-08-20
Description:
Provides row-level data provenance tracking for analytical pipelines. Tags datasets with unique lineage identifiers that persist through filter, join, and derive operations. Requires documented reasons for every row exclusion, capturing who was removed, why, and at which pipeline stage. Variable derivations are registered as structured specifications linking output variables back to their source. Any row in any downstream dataset can be traced back to its origin via lg_trace(). Generates structured HTML provenance reports suitable for regulatory submissions, internal audit, or analytical documentation. General-purpose: works for clinical data, machine learning pipelines, financial modelling, epidemiology, or any workflow where row-level accountability matters. Optional features support pharmaceutical users including population flag definitions, source-to-analysis variable mapping, and Reviewer's Guide-aligned report output. Complements the 'regulog' package for tamper-evident session-level audit logging. For more details see <https://reprostats.org/lineager/>.
How to cite:
Ndoh Penn (2026). lineager: Row-Level Data Provenance and Exclusion Tracking. R package version 0.1.1, https://cran.r-project.org/web/packages/lineager. Accessed 22 Sep. 2026.
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