fdid: Factorial Difference-in-Differences

Implements the factorial difference-in-differences (FDID) framework for panel data settings where all units are exposed to a universal event but vary in a baseline factor G. Provides support for various estimators; supports robust, bootstrap, and jackknife variance; returns dynamic, pre/event/post aggregates and raw means; and includes helpers for data preparation and plotting. Methodology follows Xu, Zhao and Ding (2026) <doi:10.1080/01621459.2026.2628343>.

Version:	1.0.2
Depends:	R (≥ 3.6.0)
Imports:	estimatr, dplyr, tidyr, rlang, tidyselect, RColorBrewer, foreach, doFuture, future, ebal, grf, car, sandwich
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-03-23
DOI:	10.32614/CRAN.package.fdid (may not be active yet)
Author:	Yiqing Xu [aut, cre], Rivka Lipkovitz [aut], Enhan Liu [aut]
Maintainer:	Yiqing Xu <yiqingxu at stanford.edu>
License:	MIT + file LICENSE
URL:	https://yiqingxu.org/packages/fdid/, https://github.com/xuyiqing/fdid
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	fdid results

Documentation:

Reference manual:	fdid.html , fdid.pdf
Vignettes:	Getting Started with fdid (source, R code)

Downloads:

Package source:	fdid_1.0.2.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): fdid_1.0.2.tgz, r-oldrel (x86_64): not available

Linking:

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