Package: eVCGsampler 1.1.2
eVCGsampler: VCG Sampling using Energy-Based Covariate Balancing
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.
Authors:
eVCGsampler_1.1.2.tar.gz
eVCGsampler_1.1.2.zip(r-4.7-any)eVCGsampler_1.1.2.zip(r-4.6-any)eVCGsampler_1.1.2.zip(r-4.5-any)
eVCGsampler_1.1.2.tgz(r-4.6-any)eVCGsampler_1.1.2.tgz(r-4.5-any)
eVCGsampler_1.1.2.tar.gz(r-4.7-any)eVCGsampler_1.1.2.tar.gz(r-4.6-any)
eVCGsampler_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
eVCGsampler/json (API)
| # Install 'eVCGsampler' in R: |
| install.packages('eVCGsampler', repos = c('https://sanofi-public.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sanofi-public/evcgsampler/issues
Last updated from:99aad5fdcf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 212 | ||
| source / vignettes | OK | 236 | ||
| linux-release-x86_64 | OK | 167 | ||
| macos-release-arm64 | OK | 165 | ||
| macos-oldrel-arm64 | OK | 146 | ||
| windows-devel-x86_64 | OK | 112 | ||
| windows-release-x86_64 | OK | 123 | ||
| windows-oldrel-x86_64 | OK | 226 | ||
| wasm-release | OK | 140 |
Exports:BestVCGsizecombine_datacombine_variablesenergy_distanceenergy_testfind_outlierslaunchAppmultiSamplerplot_varrobust_scaleVCG_sampler
Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomefsggforceggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemimeosqpotelpatchworkpolyclippromisesR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolssystemfontstidyselecttweenrvctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The function attempts to find the optimal size for VCG. | BestVCGsize |
| Combine data from pool and treated groups | combine_data |
| Compute Weighted Combined Score from Multiple ariables | combine_variables |
| Compute Energy Distance Between Two Groups | energy_distance |
| Permutation Energy Test for Covariate Imbalance | energy_test |
| Find Outlier Groups Based on Energy Distance | find_outliers |
| @title Launch the Shiny App | launchApp |
| Multi-Sample VCG Generator and Overlap Visualization | multiSampler |
| Visualize Covariate Distribution Across TG, VCG, and POOL | plot_var |
| Robust Scaling of Numeric and Categorical Variables | robust_scale |
| VCG Sampler for Energy Distance Balancing | VCG_sampler |
