Package: prepost
Type: Package
Title: Non-Parametric Bounds and Gibbs Sampler for Assessing Priming
        and Post-Treatment Bias
Version: 0.3.0
Authors@R: 
  c(person(given = "Matthew",
           family = "Blackwell",
           role = c("aut", "cre"),
           email = "mblackwell@gmail.com"
           ),
    person(given = "Jacob",
           family = "Brown",
           role = c("aut"),
           email = "jrbrown@g.harvard.edu"
           ),
    person(given = "Sophie",
           family = "Hill",
           role = c("aut"),
           email = "sophie_hill@g.harvard.edu"
           ),
    person(given = "Kosuke",
           family = "Imai",
           role = c("aut"),
           email = "imai@harvard.edu"
           ),
    person(given = "Teppei",
           family = "Yamamoto",
           role = c("aut"),
           email = "tyamam@waseda.jp")
           )
URL: https://github.com/mattblackwell/prepost,
        https://mattblackwell.github.io/prepost/
Description: A set of tools to implement the non-parametric bounds and
        Bayesian methods for assessing post-treatment bias developed in
        Blackwell et al (2025) <doi:10.1017/pan.2025.3>
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: gtools, BayesLogit, lpSolve, progress, Rglpk
Suggests: testthat (>= 3.0.0), devtools, knitr, rmarkdown, lmtest,
        sandwich, dplyr, ggplot2
Depends: R (>= 2.10)
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: libglpk-dev
Repository: https://mattblackwell.r-universe.dev
Date/Publication: 2025-07-03 13:13:20 UTC
RemoteUrl: https://github.com/mattblackwell/prepost
RemoteRef: HEAD
RemoteSha: 87f64adb68fb5786f5095169aff3d0127c2cf03b
NeedsCompilation: no
Packaged: 2026-07-03 07:59:59 UTC; root
Author: Matthew Blackwell [aut, cre],
  Jacob Brown [aut],
  Sophie Hill [aut],
  Kosuke Imai [aut],
  Teppei Yamamoto [aut]
Maintainer: Matthew Blackwell <mblackwell@gmail.com>