Package: clinicalsignificance 3.0.0.9000

Benedikt Schäfer

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. Accompanying package to Claus et al. <doi:10.18637/jss.v111.i01>.

Authors:Benedikt Schäfer [aut, cre]

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manual.pdf |manual.html✨
card.svg |card.png
clinicalsignificance/json (API)
NEWS

# Install 'clinicalsignificance' in R:
install.packages('clinicalsignificance', repos = c('https://benediktschfr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/benediktschfr/clinicalsignificance/issues

Pkgdown/docs site:https://benediktschfr.github.io

Datasets:

On CRAN:

Conda:

5.54 score 2 stars 273 downloads 19 exports 57 dependencies

Last updated from:7a468cf83f. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE195
source / vignettesOK230
linux-release-x86_64NOTE219
macos-release-arm64NOTE162
macos-oldrel-arm64NOTE168
windows-develNOTE126
windows-releaseNOTE158
windows-oldrelNOTE137
wasm-releaseOK166

Exports:calc_anchorcalc_cutoff_from_datacalc_percentagecalc_rcicreate_summary_tablecs_anchorcs_combinedcs_distributioncs_get_augmented_datacs_get_cutoffcs_get_cutoff_descriptivescs_get_datacs_get_modelcs_get_ncs_get_reliabilitycs_get_summarycs_percentagecs_statisticalgenerate_plotting_band

Dependencies:backportsBayesFactorbayestestRbootcheckmateclicodacontfraccpp11datawizarddeSolvedplyrellipticfarvergenericsggplot2gluegtablehypergeoinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsminqamvtnormnlmenloptrpbapplypillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalessnakecasestringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Analyzing Clinical Significance: The Anchor-Based Approach

Rendered fromanchor-based-approach.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Distribution-Based Approach

Rendered fromdistribution-based-approach.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Percentage-Change Approach

Rendered frompercentage-change-approach.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Statistical Approach

Rendered fromstatistical-approach.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2025-09-05
Started: 2023-09-26

Analyzing Clinical Significance: The Combined Approach

Rendered fromcombined-approach.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2025-09-05
Started: 2023-09-26

Readme and manuals

Help Manual

Help pageTopics
Antidepressant Dataantidepressants
Anxiety Dataanxiety
Anxiety Data (Complete)anxiety_complete
Placebo Amplification Dataclaus_2020
Fictional "Columbo's Detectives" Data with Missing Valuescolumbo
Anchor-Based Analysis of Clinical Significancecs_anchor
Combined Analysis of Clinical Significancecs_combined
Distribution-Based Analysis of Clinical Significancecs_distribution
Extract Augmented Data from a cs_analysis Objectcs_get_augmented_data cs_get_augmented_data.cs_anchor_individual_within cs_get_augmented_data.cs_combined cs_get_augmented_data.cs_distribution cs_get_augmented_data.cs_percentage cs_get_augmented_data.cs_statistical cs_get_augmented_data.default
Get Used Cutoff And Type From A cs_analysis Objectcs_get_cutoff
Get Descriptives Used In The Cutoff Calculationcs_get_cutoff_descriptives
Get Data From A cs_analysis Objectcs_get_data
Get The HLM Model From A cs_analysis Objectcs_get_model
Get Number Of Participants From A cs_analysis Objectcs_get_n
Get Reliability Of A cs_analysis Objectcs_get_reliability
Get A Summary Table From A cs_analysis Objectcs_get_summary cs_get_summary.cs_anchor_group_between cs_get_summary.cs_anchor_group_within cs_get_summary.default
Percentage-Change Analysis of Clinical Significancecs_percentage
Statistical Analysis of Clinical Significancecs_statistical
Fictional "Garden Club" Pre-Post Intervention Datagarden_club
Fictional "Garden Club" Data for MID Sensitivity Analysisgarden_club_sensitive
Chronic Pain Datahechler_2014
Marital Therapy Datajacobson_1989
Plot an Object of Class cs_anchor_group_betweenplot.cs_anchor_group_between
Plot an Object of Class cs_anchor_group_withinplot.cs_anchor_group_within
Plot an Object of Class cs_anchor_individual_withinplot.cs_anchor_individual_within
Plot an Object of Class cs_combinedplot.cs_combined
Plot an Object of Class cs_distributionplot.cs_distribution
Plot an Object of Class cs_percentageplot.cs_percentage
Plot an Object of Class cs_statisticalplot.cs_statistical
Print Method for the Anchor-Based Approach for Groups (Between)print.cs_anchor_group_between
Print Method for the Anchor-Based Approach for Groups (Within)print.cs_anchor_group_within
Print Method for the Anchor-Based Approach for Individualsprint.cs_anchor_individual_within
Print Method for the Combined Approachprint.cs_combined
Print Method for the Distribution-Based Approachprint.cs_distribution
Print Method for the Percentange-Change Approachprint.cs_percentage
Print Method for the Statistical Approachprint.cs_statistical
Summary Method for the Anchor-Based Approach for Groups (Between)summary.cs_anchor_group_between
Summary Method for the Anchor-Based Approach for Groups (Within)summary.cs_anchor_group_within
Summary Method for the Anchor-Based Approachsummary.cs_anchor_individual_within
Summary Method for the Combined Approachsummary.cs_combined
Summary Method for the Distribution-Based Approachsummary.cs_distribution
Summary Method for the Percentage-Change Approachsummary.cs_percentage
Summary Method for the Statistical Approachsummary.cs_statistical
Fictional "Trackmania" Racing Data for Interrupted Time-Seriestrackmania