persuasio: Causal Inference on Persuasion Effects

Provides estimation and inference methods for causal persuasion rates in the potential-outcomes framework of Jun and Lee (2023, Journal of Political Economy) <doi:10.1086/724114>. The package computes bounds and confidence intervals for average and local persuasion rates under data scenarios with binary outcomes, treatments, and instruments, and also when only the outcome and instrument are observed. It also provides functions for calculating bounds from summary statistics.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-08-05
DOI: 10.32614/CRAN.package.persuasio
Author: Xinrui Chen [aut], Sung Jae Jun [aut], Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841 at columbia.edu>
BugReports: https://github.com/persuasio/persuasio-r/issues
License: GPL (≥ 3)
URL: https://github.com/persuasio/persuasio-r, https://github.com/persuasio/persuasio-stata
NeedsCompilation: no
Citation: persuasio citation info
Materials: README, NEWS
CRAN checks: persuasio results

Documentation:

Reference manual: persuasio.html , persuasio.pdf
Vignettes: Getting Started with persuasio (source, R code)

Downloads:

Package source: persuasio_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: persuasio_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): persuasio_0.1.0.tgz, r-oldrel (arm64): persuasio_0.1.0.tgz, r-release (x86_64): persuasio_0.1.0.tgz, r-oldrel (x86_64): persuasio_0.1.0.tgz

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