A tool for synthetic data generation that can be used for linkage method development, with elements of i) gold standard file with complete and accurate information and ii) linkage files that are corrupted as we often see in raw dataset.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | bnlearn (≥ 4.4.1), synthpop (≥ 1.5.1), reshape (≥ 0.8.8), ggplot2 (≥ 3.1.1), visNetwork (≥ 2.0.6), arsenal (≥ 3.3.0) |
| Suggests: | mlr (≥ 2.16.0), PostcodesioR (≥ 0.1.1), reclin, dplyr, knitr, rmarkdown, testthat |
| Published: | 2020-04-27 |
| Author: | Haoyuan Zhang, Katie Harron, Harvey Goldstein, Andrew Boyd, Ruth Gilbert |
| Maintainer: | Haoyuan Zhang <howardhyzhang at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | sdglinkage results |
| Reference manual: | sdglinkage.pdf |
| Vignettes: |
From Sensitive Real Identifiers to Synthetic Identifiers Generation of Gold Standard File and Linkage Files Synthetic Data Generation and Evaluation sdglinkage_README |
| Package source: | sdglinkage_0.1.0.tar.gz |
| Windows binaries: | r-devel: sdglinkage_0.1.0.zip, r-release: sdglinkage_0.1.0.zip, r-oldrel: sdglinkage_0.1.0.zip |
| macOS binaries: | r-release: sdglinkage_0.1.0.tgz, r-oldrel: sdglinkage_0.1.0.tgz |
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