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fastdid: Fast Staggered Difference-in-Difference Estimators

A fast and flexible implementation of Callaway and Sant'Anna's (2021)<doi:10.1016/j.jeconom.2020.12.001> staggered Difference-in-Differences (DiD) estimators, 'fastdid' reduces the computation time from hours to seconds, and incorporates extensions such as time-varying covariates and multiple events.

Version: 1.0.3
Imports: data.table (≥ 1.15.0), stringr, BMisc, collapse, dreamerr (≥ 1.4.0), parglm, ggplot2
Suggests: did, knitr, parallel, rmarkdown, tinytest
Published: 2024-11-04
DOI: 10.32614/CRAN.package.fastdid
Author: Lin-Tung Tsai [aut, cre, cph], Maxwell Kellogg [ctb], Kuan-Ju Tseng [ctb]
Maintainer: Lin-Tung Tsai <tsaidondon at gmail.com>
BugReports: https://github.com/TsaiLintung/fastdid/issues
License: MIT + file LICENSE
URL: https://github.com/TsaiLintung/fastdid, https://tsailintung.github.io/fastdid/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: fastdid results

Documentation:

Reference manual: fastdid.pdf
Vignettes: double (source, R code)
misc (source, R code)

Downloads:

Package source: fastdid_1.0.3.tar.gz
Windows binaries: r-devel: fastdid_1.0.3.zip, r-release: fastdid_1.0.3.zip, r-oldrel: fastdid_1.0.3.zip
macOS binaries: r-release (arm64): fastdid_1.0.3.tgz, r-oldrel (arm64): fastdid_1.0.3.tgz, r-release (x86_64): fastdid_1.0.3.tgz, r-oldrel (x86_64): fastdid_1.0.3.tgz
Old sources: fastdid archive

Linking:

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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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