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opencesp: Generation and Evaluation of Synthetic Tabular Datasets
Various tools developed as part of the Open-CESP (Centre de recherche
en Epidémiologie et Santé des Populations) initiative to generate and
evaluate synthetic datasets for statistical disclosure control.
This includes tools to investigate the risk-utility tradeoff achievable with
given synthesis methods, as well as statistical tools to estimate (conditional)
probability distributions. The main eventual aim is to help researchers and
statisticians disseminate open research data.
| Version: |
0.4.0 |
| Imports: |
stats, cluster, rpart, parallel, fastmap, PCAmixdata, randomForest, mice |
| Suggests: |
gbm |
| Published: |
2026-06-01 |
| DOI: |
10.32614/CRAN.package.opencesp (may not be active yet) |
| Author: |
Rémy Chapelle 
[aut, cre],
Centre de recherche en Epidémiologie et Santé des Populations [cph] |
| Maintainer: |
Rémy Chapelle <remy.chapelle at universite-paris-saclay.fr> |
| License: |
GPL-3 |
| URL: |
https://opencesp.vjf.inserm.fr/en |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
opencesp results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=opencesp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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