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: |
1.2.0 |
| Depends: |
ggplot2 |
| Imports: |
ggforce, osqp, patchwork, shiny |
| Suggests: |
bslib, DT, glue, knitr, openxlsx, readxl, rmarkdown, shinycssloaders, shinyhelper, shinyjs, testthat (≥ 3.0.0) |
| Published: |
2026-10-15 |
| 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 |
| URL: |
https://github.com/Sanofi-Public/eVCGsampler |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
eVCGsampler results |