respondeR: Imputing Responder Proportions from Continuous Outcomes

Express meta-analyses of continuous trial outcomes in terms of responder risks, following the interpretability tutorial of Thorlund, Walter, Johnston, Furukawa and Guyatt (2011) <doi:10.1002/jrsm.46>. Given the mean change, standard deviation and sample size per arm across studies, respondeR estimates the proportion of patients who cross a minimal important difference (MID) threshold under a parametric model for the change scores, and contrasts the arms as a risk difference, risk ratio, odds ratio or number needed to treat. It provides per-study (fixed- or random-effects) pooling with exact tail probabilities, a pooled-summary method anchored on the within-study mean difference, median and unweighted-mean summaries, the standardized-mean-difference to odds-ratio bridge of Anzures-Cabrera, Sarpatwari and Higgins (2011) <doi:10.1002/sim.4298>, a threshold-free common-language effect size, results across a range of thresholds, GRADE summary-of-findings rows, change-score standard deviation imputation, shared-control handling for multi-arm trials, and a point-and-click 'Shiny' application. It can also read a continuous meta-analysis already fitted with 'meta' or 'metafor' and convert it to responder risks. The framework follows the simulation study of Sofi-Mahmudi (2024) <https://hdl.handle.net/11375/30210>.

Version: 0.2.0
Depends: R (≥ 3.5)
Imports: graphics, grDevices, stats, utils
Suggests: shiny, shinydashboard, DT, testthat (≥ 3.0.0), meta, metafor, knitr, rmarkdown
Published: 2026-10-12
DOI: 10.32614/CRAN.package.respondeR
Author: Ahmad Sofi-Mahmudi ORCID iD [aut, cre]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi at gmail.com>
BugReports: https://github.com/choxos/respondeR/issues
License: GPL-3
URL: https://github.com/choxos/respondeR, https://choxos.github.io/respondeR/
NeedsCompilation: no
Citation: respondeR citation info
Materials: README, NEWS
CRAN checks: respondeR results

Documentation:

Reference manual: respondeR.html , respondeR.pdf
Vignettes: Responder analysis from a fitted meta-analysis (source, R code)
Methodology (source, R code)
Getting started with respondeR (source, R code)

Downloads:

Package source: respondeR_0.2.0.tar.gz
Windows binaries: r-devel: respondeR_0.1.0.zip, r-release: respondeR_0.1.0.zip, r-oldrel: respondeR_0.1.0.zip
macOS binaries: r-release (arm64): respondeR_0.2.0.tgz, r-oldrel (arm64): respondeR_0.2.0.tgz, r-release (x86_64): respondeR_0.2.0.tgz, r-oldrel (x86_64): respondeR_0.2.0.tgz
Old sources: respondeR archive

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