https://andreass23.r-universe.devRecent package updates in andreass23R-universehttps://github.com/andreass23.pnghttps://andreass23.r-universe.devTue, 10 Mar 2026 12:21:57 GMTandreas.schulz2@sanofi.com (Andreas Schulz)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.https://github.com/r-universe/sanofi-public/actions/runs/25596034116Tue, 10 Mar 2026 12:21:57 GMTeVCGsampler1.0.0successhttps://sanofi-public.r-universe.devhttps://github.com/sanofi-public/evcgsamplereVCGsampler_user_guide.RmdeVCGsampler_user_guide.html{width=1in} Introduction to the eVCGsampler package2026-02-13 07:27:432026-03-10 10:35:37ades-s@web.de (Andreas Schulz)A collection of nice plotting functions directly from a data.frame with limited customisation possibilities.https://github.com/r-universe/andreass23/actions/runs/25847423680Thu, 27 Oct 2022 14:35:16 GMTepade0.5.1successhttps://andreass23.r-universe.devhttps://github.com/cran/epadeades-s@web.de (Andreas Schulz)Creates simple to highly customized tables for a wide selection of descriptive statistics, with or without weighting the data.https://github.com/r-universe/andreass23/actions/runs/25847387375Sat, 22 May 2021 15:50:02 GMTetable1.3.1successhttps://andreass23.r-universe.devhttps://github.com/cran/etableetable_vignette.Rmdetable_vignette.htmlPackage etable.2021-05-22 15:50:022021-05-22 15:50:02ades-s@web.de (Andreas Schulz)Adds different kinds of brackets to a plot, including braces, chevrons, parentheses or square brackets.https://github.com/r-universe/andreass23/actions/runs/25847274732Tue, 18 May 2021 15:50:05 GMTpBrackets1.0.1successhttps://andreass23.r-universe.devhttps://github.com/cran/pBracketspBrackets_vignette.RmdpBrackets_vignette.htmlSome examples and explanations for pBrackets.2021-05-18 15:50:052021-05-18 15:50:05ades-s@web.de (Andreas Schulz)Estimates the type of variables in non-quality controlled data. The prediction is based on a random forest model, trained on over 5000 medical variables with accuracy of 99%. The accuracy can hardy depend on type and coding style of data.https://github.com/r-universe/andreass23/actions/runs/25847356540Fri, 14 May 2021 09:30:02 GMTvtype0.8successhttps://andreass23.r-universe.devhttps://github.com/cran/vtypevignette.Rmdvignette.htmlApplication example2021-05-14 09:30:022021-05-14 09:30:02