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Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
| Version: | 0.9.2 |
| Depends: | ggplot2 |
| Imports: | ggforce, osqp, patchwork |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-12-19 |
| DOI: | 10.32614/CRAN.package.eVCGsampler |
| Author: | Andreas Schulz [aut, cre] (Created in 2025), Sanofi [cph, fnd] |
| Maintainer: | Andreas Schulz <andreas.schulz2 at sanofi.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | eVCGsampler results |
| Reference manual: | eVCGsampler.html , eVCGsampler.pdf |
| Vignettes: |
eVCGsampler (source, R code) |
| Package source: | eVCGsampler_0.9.2.tar.gz |
| Windows binaries: | r-devel: eVCGsampler_0.9.2.zip, r-release: not available, r-oldrel: eVCGsampler_0.9.2.zip |
| macOS binaries: | r-release (arm64): eVCGsampler_0.9.2.tgz, r-oldrel (arm64): eVCGsampler_0.9.2.tgz, r-release (x86_64): eVCGsampler_0.9.2.tgz, r-oldrel (x86_64): eVCGsampler_0.9.2.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.