R Observatory: Metrics for clinicalsignificance version 3.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

clinicalsignificance

3.0.0Package record

A Toolbox for Clinical Significance Analyses in Intervention Studies

0packages depend

3.9Kdownloads / year

64.5%test coverage

13/13flavors OK

Overview

About

Maintained by Benedikt ClausCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 3.0.0

Breaking changes

cs_get_summary() now returns raw numeric values instead of formatted character strings (e.g., 0.5 instead of "50.0%"). This facilitates downstream analyses and plotting (e.g., in sensitivity analyses). Formatting is now handled exclusively by the respective print() and summary() methods.
Refactored print() and summary() methods to be lighter and more maintainable. The output no longer relies on the cli package, which is now used solely for messages and warnings. This is an internal change to improve code readability; calculation results remain unaffected.

New features

All main functions (cs_anchor(), cs_percentage(), cs_distribution(), cs_statistical(), cs_combined()) now calculate group-wise statistics if the group argument is provided.
Added new datasets (garden_club, trackmania, columbo) to demonstrate various analysis methods.

Minor improvements and fixes

Fixed an issue where the summary table for combined approaches was not displayed correctly.
All vignettes have been updated to reflect the latest changes.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("clinicalsignificance", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("benediktclaus/clinicalsignificance")

Development version from benediktclaus/clinicalsignificance. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-clinicalsignificance

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-clinicalsignificance

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-clinicalsignificance

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.4 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.0.0

READMEYes · 408 wordsVignettesYes · 5 · dynamicNEWSYes · 100% structured · mentions 3.0.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JSS article

Help pages: 75 (31 internal)
Examples that run: 100%33 run in a plain check
Exported functions with examples: 63%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 11%

Vignettes (5)

How these are measured

Downloads

3.9K

CRAN downloads in the past year

Rank #8,951 · ~11/day · ~323/mo

Releases R versions

Daily download trend is not available in this view yet.

51730 days

1.1K90 days

3.9K1 year

Compare downloads with other packages →

Also on134 r2u10 autocran22 c2d4u

How downloads are counted

Repository

benediktschfr/clinicalsignificance ↗Account: benediktschfr

Moved from benediktclaus/clinicalsignificance.

2Stars

1Forks

0Open issues

0Open PRs

4Releases

387Commits

1Commit identities

License file reads as GPL-3.0 · 387 commits · Last activity 2026-05-28 · 0% stars, 30d · Default branch at 3.0.0.9000, ahead of CRAN 3.0.0 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 0
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2022-11-03 · 12026-07-07 · 2

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/benediktclaus/clinicalsignificance on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-05-28 · The repository has a site deploy workflow

pkgdown site last built 2026-05-28

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing clinicalsignificance adds 51 packages (27 with compiled code, 54 MB of source tarballs). Heaviest: stringi 11 MB, BayesFactor 6.1 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.2.0

Imports (12)

BayesFactor bayestestR cli dplyr ggplot2 insight lme4 purrr rlang snakecase tibble tidyr

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown testthat tidyverse vdiffr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Benedikt Claus

Author, Maintainer since 1.0.0 (2022)

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
3.0.0Latest
record
2025-11-27 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
2.1.0
record
2024-12-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
2.0.0
record
2023-11-16 · diff ↗ ·
removed 12 exports
%>%, check_cutoff, clinical_significance, get_augmented_data, get_beneficial_direction, get_cutoff, get_cutoff_descriptives, get_data, get_method, get_n, get_reliability, get_summary_table

added 19 exports
calc_anchor, calc_cutoff_from_data, calc_percentage, calc_rci, create_summary_table, cs_anchor, cs_combined, cs_distribution, cs_get_augmented_data, cs_get_cutoff, cs_get_cutoff_descriptives, cs_get_data, cs_get_model, cs_get_n, cs_get_reliability, cs_get_summary, cs_percentage, cs_statistical, generate_plotting_band
R
R 4.3.0 released · 2023-04-21
1.2.0
record
2022-12-08 · diff ↗
1.0.0
record
2022-06-03
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-06-03
Total releases: 5 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.2.0
Bundled data: 25 KB / 10 files
Download size: 598 KB

Appears in task views

Clinical Trial Design, Monitoring, Analysis and Reporting

Cite

Cite this package

Run in R for the authors' entry:

citation("clinicalsignificance")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v111.i01.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for clinicalsignificance version 3.0.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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