clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies (original) (raw)
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.
| Version: | 2.0.0 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | BayesFactor, bayestestR, cli, dplyr, ggplot2, insight, lme4, purrr, rlang, tibble, tidyr |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), tidyverse, vdiffr |
| Published: | 2023-11-16 |
| DOI: | 10.32614/CRAN.package.clinicalsignificance |
| Author: | Benedikt Claus  [aut, cre] |
| Maintainer: | Benedikt Claus <b.claus at pedscience.de> |
| BugReports: | https://github.com/pedscience/clinicalsignificance/issues |
| License: | GPL (≥ 3) |
| URL: | https://pedscience.github.io/clinicalsignificance/,https://github.com/pedscience/clinicalsignificance |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | ClinicalTrials |
| CRAN checks: | clinicalsignificance results |
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