attrition: Addressing Nonignorable Attrition with Double Sampling and
Bounds
Implements the double-sampling bounds estimator of Coppock,
Gerber, Green, and Kern (2017) <doi:10.1017/pan.2016.6> for randomized
experiments with nonignorable missing outcomes. Provides worst-case
(Manski) bounds, double-sampling bounds with analytic variance and
Imbens-Manski confidence intervals, Lee (2009) <doi:10.1111/j.1467-937X.2009.00536.x> trimming
bounds with analytic and bootstrap standard errors, covariate
adjustment via poststratification, and a sensitivity analysis for
violations of the outcome stability assumption.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
generics, ggplot2, tibble |
| Suggests: |
dplyr, estimatr, knitr, purrr, rmarkdown, testthat (≥
3.0.0), vayr (≥ 1.1.0) |
| Published: |
2026-09-18 |
| DOI: |
10.32614/CRAN.package.attrition (may not be active yet) |
| Author: |
Alexander Coppock [aut, cre],
Alan S. Gerber [aut],
Donald P. Green [aut],
Holger L. Kern [aut] |
| Maintainer: |
Alexander Coppock <acoppock at gmail.com> |
| BugReports: |
https://github.com/acoppock/attrition/issues |
| License: |
GPL-3 |
| URL: |
https://alexandercoppock.com/attrition/,
https://github.com/acoppock/attrition |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
attrition results |
Documentation:
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