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triplediff: Triple-Difference Estimators

Implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>.

Version: 0.1.0
Depends: R (≥ 4.3)
Imports: BMisc (≥ 1.4.6), data.table (≥ 1.15.0), Matrix (≥ 1.6.1), parallel (≥ 1.4.0), parglm (≥ 0.1.7), Rcpp (≥ 1.0.12), speedglm (≥ 0.3-5)
LinkingTo: Rcpp (≥ 1.0.12)
Suggests: testthat (≥ 3.0.0)
Published: 2025-07-23
DOI: 10.32614/CRAN.package.triplediff
Author: Marcelo Ortiz-Villavicencio [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Marcelo Ortiz-Villavicencio <marcelo.ortiz at emory.edu>
License: MIT + file LICENSE
URL: http://marcelortiz.com/triplediff/
NeedsCompilation: yes
Citation: triplediff citation info
Materials: README, NEWS
CRAN checks: triplediff results

Documentation:

Reference manual: triplediff.html , triplediff.pdf

Downloads:

Package source: triplediff_0.1.0.tar.gz
Windows binaries: r-devel: triplediff_0.1.0.zip, r-release: triplediff_0.1.0.zip, r-oldrel: triplediff_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): triplediff_0.1.0.tgz, r-oldrel (x86_64): triplediff_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=triplediff to link to this page.

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.