clinicalsignificance: Determine the Clinical Significance in Clinical Trials

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 as proposed by Jacobson et al., (1984) <doi:10.1016/S0005-7894(84)80002-7>.

Version: 1.2.0
Depends: R (≥ 2.10)
Imports: checkmate, crayon, dplyr, ggplot2, insight, lme4, magrittr, purrr, rlang, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), tidyverse, vdiffr
Published: 2022-12-08
Author: Benedikt Claus ORCID iD [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
CRAN checks: clinicalsignificance results

Documentation:

Reference manual: clinicalsignificance.pdf
Vignettes: Clinical Significance Plots
Get started

Downloads:

Package source: clinicalsignificance_1.2.0.tar.gz
Windows binaries: r-devel: clinicalsignificance_1.2.0.zip, r-release: clinicalsignificance_1.2.0.zip, r-oldrel: clinicalsignificance_1.2.0.zip
macOS binaries: r-release (arm64): clinicalsignificance_1.2.0.tgz, r-oldrel (arm64): clinicalsignificance_1.2.0.tgz, r-release (x86_64): clinicalsignificance_1.2.0.tgz, r-oldrel (x86_64): clinicalsignificance_1.2.0.tgz
Old sources: clinicalsignificance archive

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