Package: persuasio
Title: Causal Inference on Persuasion Effects
Version: 0.1.0
Authors@R: 
    c(
    person(
        given = "Xinrui",
        family = "Chen",
        email = "xc2731@columbia.edu",
        role = c("aut")
      ),
    person(
        given = "Sung Jae",
        family = "Jun",
        email = "suj14@psu.edu",
        role = c("aut")
      ),
    person(
        given = "Sokbae",
        family = "Lee",
        email = "sl3841@columbia.edu",
        role = c("aut", "cre")
      )
    )
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.
License: GPL (>= 3)
URL: https://github.com/persuasio/persuasio-r,
        https://github.com/persuasio/persuasio-stata
BugReports: https://github.com/persuasio/persuasio-r/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 8.0.0
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: stats
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
Repository: https://persuasio.r-universe.dev
Date/Publication: 2026-07-27 23:57:16 UTC
RemoteUrl: https://github.com/persuasio/persuasio-r
RemoteRef: HEAD
RemoteSha: 934c527622e6590fda6ca45d32450b326f091fa0
NeedsCompilation: no
Packaged: 2026-10-05 10:30:47 UTC; root
Author: Xinrui Chen [aut],
  Sung Jae Jun [aut],
  Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841@columbia.edu>