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clinicalsignificance  

A Toolbox for Clinical Significance Analyses in Intervention Studies
View on CRAN: Click here


Download and install clinicalsignificance package within the R console
Install from CRAN:
install.packages("clinicalsignificance")

Install from Github:
library("remotes")
install_github("cran/clinicalsignificance")

Install by package version:
library("remotes")
install_version("clinicalsignificance", "3.0.0")



Attach the package and use:
library("clinicalsignificance")
Maintained by
Benedikt Claus
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-03
Latest Update: 2024-12-02
Description:
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.
How to cite:
Benedikt Claus (2022). clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies. R package version 3.0.0, https://cran.r-project.org/web/packages/clinicalsignificance. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:26), 1.0.0 (2022-06-03 09:30), 1.2.0 (2022-12-08 13:50), 2.0.0 (2023-11-16 16:44), 2.1.0 (2024-12-02 16:40)
Other packages that cited clinicalsignificance R package
View clinicalsignificance citation profile
Other R packages that clinicalsignificance depends, imports, suggests or enhances
Complete documentation for clinicalsignificance
Functions, R codes and Examples using the clinicalsignificance R package
Some associated functions: antidepressants . anxiety . anxiety_complete . augmented_data . calc_anchor.cs_anchor_group_between . calc_anchor.cs_anchor_group_within . calc_anchor.cs_anchor_individual_within . calc_anchor . calc_cutoff_from_data.cs_ha . calc_cutoff_from_data.default . calc_cutoff_from_data . calc_percentage . calc_rci.cs_en . calc_rci.cs_gln . calc_rci.cs_ha . calc_rci.cs_hll . calc_rci.cs_hlm . calc_rci.cs_jt . calc_rci.cs_nk . calc_rci . claus_2020 . create_summary_table.cs_anchor_individual_within . create_summary_table.cs_combined . create_summary_table.cs_distribution . create_summary_table.cs_percentage . create_summary_table.cs_statistical . create_summary_table . cs_anchor . cs_combined . cs_distribution . cs_get_cutoff . cs_get_cutoff_descriptives . cs_get_data . cs_get_model . cs_get_n . cs_get_reliability . cs_percentage . cs_statistical . generate_plotting_band.cs_anchor_individual_within . generate_plotting_band.cs_en . generate_plotting_band.cs_gln . generate_plotting_band.cs_ha . generate_plotting_band.cs_hll . generate_plotting_band.cs_jt . generate_plotting_band.cs_nk . generate_plotting_band.cs_percentage . generate_plotting_band . hechler_2014 . jacobson_1989 . plot.cs_anchor_group_between . plot.cs_anchor_group_within . plot.cs_anchor_individual_within . plot.cs_combined . plot.cs_distribution . plot.cs_percentage . plot.cs_statistical . print.cs_anchor_group_between . print.cs_anchor_group_within . print.cs_anchor_individual_within . print.cs_combined . print.cs_distribution . print.cs_percentage . print.cs_statistical . summary.cs_anchor_group_between . summary.cs_anchor_group_within . summary.cs_anchor_individual_within . summary.cs_combined . summary.cs_distribution . summary.cs_percentage . summary.cs_statistical . summary_table . 
Some associated R codes: calc_anchor.R . calc_cutoff.R . calc_percentage.R . calc_rci.R . calc_recovered.R . create_summary_table.R . cs_anchor.R . cs_combined.R . cs_distribution.R . cs_get_augmented_data.R . cs_get_cutoff.R . cs_get_cutoff_descriptives.R . cs_get_data.R . cs_get_model.R . cs_get_n.R . cs_get_reliability.R . cs_get_summary.R . cs_percentage.R . cs_statistical.R . datasets.R . generate_plotting_band.R . globals.R . package-utils.R . plot.R . prep_data.R .  Full clinicalsignificance package functions and examples
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