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persuasio  

Causal Inference on Persuasion Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("persuasio", "0.1.0")



Attach the package and use:
library("persuasio")
Maintained by
Sokbae Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-05
Latest Update: 2026-08-05
Description:
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.
How to cite:
Sokbae Lee (2026). persuasio: Causal Inference on Persuasion Effects. R package version 0.1.0, https://cran.r-project.org/web/packages/persuasio. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for persuasio
Functions, R codes and Examples using the persuasio R package
Full persuasio package functions and examples
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