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>.
| Version: | 3.0.0 |
| 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 |
| Published: | 2025-11-27 |
| DOI: | 10.32614/CRAN.package.clinicalsignificance |
| Author: | Benedikt Claus |
| Maintainer: | Benedikt Claus <benediktclaus at outlook.com> |
| BugReports: | https://github.com/benediktclaus/clinicalsignificance/issues |
| License: | GPL (≥ 3) |
| URL: | https://benediktclaus.github.io/clinicalsignificance/, https://github.com/benediktclaus/clinicalsignificance |
| NeedsCompilation: | no |
| Citation: | clinicalsignificance citation info |
| Materials: | README, NEWS |
| In views: | ClinicalTrials |
| CRAN checks: | clinicalsignificance results |
| Reference manual: | clinicalsignificance.html , clinicalsignificance.pdf |
| Vignettes: |
1. Anchor-Based Approach (source, R code) 5. Combined Approach (source, R code) 2. Distribution-Based Approach (source, R code) 3. Percentage-Change Approach (source, R code) 4. Statistical Approach (source, R code) |
| Package source: | clinicalsignificance_3.0.0.tar.gz |
| Windows binaries: | r-devel: clinicalsignificance_2.1.0.zip, r-release: clinicalsignificance_2.1.0.zip, r-oldrel: clinicalsignificance_2.1.0.zip |
| macOS binaries: | r-release (arm64): clinicalsignificance_2.1.0.tgz, r-oldrel (arm64): clinicalsignificance_2.1.0.tgz, r-release (x86_64): clinicalsignificance_3.0.0.tgz, r-oldrel (x86_64): clinicalsignificance_3.0.0.tgz |
| Old sources: | clinicalsignificance archive |
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