Package: attrition 1.0.0
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.
Authors:
attrition_1.0.0.tar.gz
attrition_1.0.0.zip(r-4.7-any)attrition_1.0.0.zip(r-4.6-any)attrition_1.0.0.zip(r-4.5-any)
attrition_1.0.0.tgz(r-4.6-any)attrition_1.0.0.tgz(r-4.5-any)
attrition_1.0.0.tar.gz(r-4.7-any)attrition_1.0.0.tar.gz(r-4.6-any)
attrition_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
attrition/json (API)
| # Install 'attrition' in R: |
| install.packages('attrition', repos = c('https://acoppock.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/acoppock/attrition/issues
Pkgdown/docs site:https://alexandercoppock.com
- levendusky_replication - Perceived polarization under double sampling
Last updated from:162f979c44. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 188 | ||
| source / vignettes | OK | 185 | ||
| linux-release | OK | 182 | ||
| macos-release | OK | 112 | ||
| macos-oldrel | OK | 99 | ||
| windows-devel | OK | 192 | ||
| windows-release | OK | 189 | ||
| windows-oldrel | OK | 193 | ||
| wasm-release | OK | 176 |
Exports:estimator_dsestimator_ds_sensestimator_evestimator_trimsensitivity_dstidy
Dependencies:clicpp11farvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extreme Value Bounds with Double Sampling | estimator_ds |
| Extreme Value Bounds with Double Sampling with Sensitivity | estimator_ds_sens |
| Extreme Value (Manski) Bounds | estimator_ev |
| Trimming Bounds | estimator_trim |
| Perceived polarization under double sampling | levendusky_replication |
| Print bounds | print.attrition_bounds |
| Print a sensitivity analysis | print.attrition_sensitivity |
| Print trimming bounds | print.attrition_trim |
| Sensitivity Analysis | sensitivity_ds |
| Summarize bounds | summary.attrition_bounds |
| Summarize trimming bounds | summary.attrition_trim |
| Tidy an attrition bounds object | tidy.attrition_bounds |
| Tidy a sensitivity analysis | tidy.attrition_sensitivity |
| Tidy a trimming bounds object | tidy.attrition_trim |