clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies

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

Documentation:

Reference manual:	clinicalsignificance.pdf
Vignettes:	Anchor-Based Approaches Combined Approach Distribution-Based Approach Percentage-Change Approach to Clinical Significance in R Statistical Approach

Downloads:

Package source:	clinicalsignificance_2.0.0.tar.gz
Windows binaries:	r-devel: clinicalsignificance_2.0.0.zip, r-release: clinicalsignificance_2.0.0.zip, r-oldrel: clinicalsignificance_2.0.0.zip
macOS binaries:	r-release (arm64): clinicalsignificance_2.0.0.tgz, r-oldrel (arm64): clinicalsignificance_2.0.0.tgz, r-release (x86_64): clinicalsignificance_2.0.0.tgz, r-oldrel (x86_64): clinicalsignificance_2.0.0.tgz
Old sources:	clinicalsignificance archive

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