Package: ATbounds 0.1.0
Sokbae Lee
ATbounds: Bounding Treatment Effects by Limited Information Pooling
Estimation and inference methods for bounding average treatment effects (on the treated) that are valid under an unconfoundedness assumption. The bounds are designed to be robust in challenging situations, for example, when the conditioning variables take on a large number of different values in the observed sample, or when the overlap condition is violated. This robustness is achieved by only using limited "pooling" of information across observations. For more details, see the paper by Lee and Weidner (2021), "Bounding Treatment Effects by Pooling Limited Information across Observations," <arxiv:2111.05243>.
Authors:
ATbounds_0.1.0.tar.gz
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ATbounds.pdf |ATbounds.html✨
ATbounds/json (API)
NEWS
| # Install 'ATbounds' in R: |
| install.packages('ATbounds', repos = c('https://atbounds.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/atbounds/atbounds-r/issues
causal-inferencelack-of-overlaplimited-overlappartial-identificationtreatment-effectsunconfoundedness-assumption
Last updated 3 years agofrom:b54d4f8f45. Checks:3 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-win | NOTE | Mar 12 2025 |
| R-4.5-mac | NOTE | Mar 12 2025 |
| R-4.5-linux | NOTE | Mar 12 2025 |
| R-4.4-win | NOTE | Mar 12 2025 |
| R-4.4-mac | NOTE | Mar 12 2025 |
| R-4.4-linux | NOTE | Mar 12 2025 |
| R-4.3-win | OK | Mar 12 2025 |
| R-4.3-mac | OK | Mar 12 2025 |
Exports:ateboundsattboundssimulation_dgp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bounding the average treatment effect (ATE) | atebounds |
| Bounding the average treatment effect on the treated (ATT) | attbounds |
| EFM | EFM |
| RHC | RHC |
| Simulating observations from the data-generating process considered in Lee and Weidner (2021) | simulation_dgp |
| Summary method for ATbounds objects | summary.ATbounds |
