synadam: Generate Synthetic ADaM Datasets
Generates synthetic ADaM (Analysis Data Model) datasets from real
clinical trial data. Preserves the structure of real datasets (column names,
value ranges, relationships between treatment and flag columns) while removing
identifiable patient information. Supports subject-level (ADSL), longitudinal
(BDS), occurrence (OCCDS), and time-to-event (TTE) dataset types.
| Version: |
0.3.3 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
checkmate, dplyr, glue, haven, rlang, stats, tidyr, tools, utils, yaml |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-07-22 |
| DOI: |
10.32614/CRAN.package.synadam (may not be active yet) |
| Author: |
David Zhang [aut, cre],
Thibaud Coroller [ctb],
Peter Krusche [ctb],
Chengyang Gao [ctb],
Novartis AG [cph] |
| Maintainer: |
David Zhang <david-1.zhang at novartis.com> |
| BugReports: |
https://github.com/Novartis/synadam/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/Novartis/synadam |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
synadam results |
Documentation:
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