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Functions for obtaining p-values (for hypothesis tests), confidence intervals, and multivariate confidence sets. In particular, the method is compatible with differentially private dataset, as long as the privacy mechanism is known. For more details, see Awan and Wang (2024), "Simulation-based, Finite-sample Inference for Privatized Data", <doi:10.48550/arXiv.2303.05328>.
| Version: | 0.1.0 |
| Imports: | ddalpha, ggplot2 |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2025-06-29 |
| DOI: | 10.32614/CRAN.package.SimBaRepro |
| Author: | Xinlong Du [aut, cre], Zhanyu Wang [aut], Jordan Awan [aut] |
| Maintainer: | Xinlong Du <du339 at purdue.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | SimBaRepro results |
| Reference manual: | SimBaRepro.html , SimBaRepro.pdf |
| Vignettes: |
Introduction to SimBaRepro (source, R code) |
| Package source: | SimBaRepro_0.1.0.tar.gz |
| Windows binaries: | r-devel: SimBaRepro_0.1.0.zip, r-release: SimBaRepro_0.1.0.zip, r-oldrel: SimBaRepro_0.1.0.zip |
| macOS binaries: | r-release (arm64): SimBaRepro_0.1.0.tgz, r-oldrel (arm64): SimBaRepro_0.1.0.tgz, r-release (x86_64): SimBaRepro_0.1.0.tgz, r-oldrel (x86_64): SimBaRepro_0.1.0.tgz |
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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.