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Differences in differences is a methodology to measure the impact of a treatment by comparing a control group, which remains untreated at two different time periods, with a treatment group, which receives the treatment at the later date. In many cases, this approach is used in situations where the intervention doesn't fully apply the treatment to the entire treatment group but rather increases the treatment rate. In response to such fuzzy scenarios, de Chaisemartin and D'Haultfoeuille (2018) <doi:10.1093/restud/rdx049> introduce estimands capable of identifying local average and quantile treatment effects under various assumptions. This R package computes the estimators they are proposing.
| Version: | 1.1.2 |
| Depends: | R (≥ 3.6.0) |
| Imports: | generics, knitr, rmarkdown |
| Suggests: | broom, foreign, haven, modelsummary, pkgload, testthat (≥ 3.0.0) |
| Published: | 2026-06-22 |
| DOI: | 10.32614/CRAN.package.Rfuzzydid |
| Author: | Kevin Michael Frick [aut, cre] |
| Maintainer: | Kevin Michael Frick <kmfrick at proton.me> |
| BugReports: | https://github.com/kmfrick/Rfuzzydid/issues |
| License: | AGPL-3 |
| URL: | https://kmfrick.github.io/Rfuzzydid/, https://github.com/kmfrick/Rfuzzydid |
| NeedsCompilation: | no |
| Citation: | Rfuzzydid citation info |
| Materials: | README, NEWS |
| CRAN checks: | Rfuzzydid results |
| Reference manual: | Rfuzzydid.html , Rfuzzydid.pdf |
| Vignettes: |
Fuzzy difference-in-differences with Rfuzzydid (source, R code) Replicating Duflo (2001) with Rfuzzydid (source, R code) Stata Parity: Replicating Stata fuzzydid in R (source, R code) |
| Package source: | Rfuzzydid_1.1.2.tar.gz |
| Windows binaries: | r-devel: Rfuzzydid_1.1.2.zip, r-release: Rfuzzydid_1.1.2.zip, r-oldrel: Rfuzzydid_1.1.2.zip |
| macOS binaries: | r-release (arm64): Rfuzzydid_1.1.2.tgz, r-oldrel (arm64): Rfuzzydid_1.1.2.tgz, r-release (x86_64): Rfuzzydid_1.1.2.tgz, r-oldrel (x86_64): Rfuzzydid_1.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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