A Toolbox for Clinical Significance Analyses in Intervention Studies R package clinicalsignificance version 3.0.0 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) A clinical significance analysis can be used to determine if an intervention has a meaningful or practical effect for patients. You provide a tidy data set plus a few more metrics and this package will take care of it to make your results publication ready. Accompanying package to Claus et al. <doi:10.18637/jss.v111.i01>. Software Depends: R (>= 4.2.0) Imports: BayesFactor, bayestestR, cli, dplyr, ggplot2, insight, lme4, purrr, rlang, snakecase, tibble, tidyr Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse, vdiffr Benedikt Claus <benediktclaus@outlook.com> Comprehensive R Archive Network (CRAN) Benedikt Claus [aut, cre] (ORCID: <https://orcid.org/0000-0001-9501-0954>) GPL (>= 3) 2025-11-27 application/tgz https://CRAN.R-project.org/package=clinicalsignificance doi:10.32614/CRAN.package.clinicalsignificance