DiDforBigData: A Big Data Implementation of Difference-in-Differences Estimation with Staggered Treatment

Provides a big-data-friendly and memory-efficient difference-in-differences estimator for staggered (and non-staggered) treatment contexts.

Version: 1.0
Depends: data.table, sandwich
Suggests: ggplot2, knitr, rmarkdown, scales, parallel, fixest, progress
Published: 2023-04-03
Author: Bradley Setzler [aut, cre, cph]
Maintainer: Bradley Setzler <bradley.setzler at gmail.com>
BugReports: https://github.com/setzler/DiDforBigData/issues
License: MIT + file LICENSE
URL: https://setzler.github.io/DiDforBigData/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DiDforBigData results

Documentation:

Reference manual: DiDforBigData.pdf
Vignettes: Background
DiDforBigData
Examples
Theory

Downloads:

Package source: DiDforBigData_1.0.tar.gz
Windows binaries: r-prerel: DiDforBigData_1.0.zip, r-release: DiDforBigData_1.0.zip, r-oldrel: DiDforBigData_1.0.zip
macOS binaries: r-prerel (arm64): DiDforBigData_1.0.tgz, r-release (arm64): DiDforBigData_1.0.tgz, r-oldrel (arm64): DiDforBigData_1.0.tgz, r-prerel (x86_64): DiDforBigData_1.0.tgz, r-release (x86_64): DiDforBigData_1.0.tgz

Linking:

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