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staggered: Efficient Estimation Under Staggered Treatment Timing

Efficiently estimates treatment effects in settings with randomized staggered rollouts, using tools proposed by Roth and Sant'Anna (2021) <doi:10.48550/arXiv.2102.01291>.

Version: 1.2.1
Depends: R (≥ 3.5.0)
Imports: data.table, purrr, Rcpp, RcppEigen, magrittr, MASS, stats
LinkingTo: Rcpp, RcppEigen
Published: 2024-09-24
DOI: 10.32614/CRAN.package.staggered
Author: Jonathan Roth [aut], Pedro H.C. Sant'Anna [aut, cre]
Maintainer: Pedro H.C. Sant'Anna <pedrohcgs at gmail.com>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: staggered results

Documentation:

Reference manual: staggered.pdf

Downloads:

Package source: staggered_1.2.1.tar.gz
Windows binaries: r-devel: staggered_1.2.1.zip, r-release: staggered_1.2.1.zip, r-oldrel: staggered_1.2.1.zip
macOS binaries: r-release (arm64): staggered_1.2.1.tgz, r-oldrel (arm64): staggered_1.2.1.tgz, r-release (x86_64): staggered_1.2.1.tgz, r-oldrel (x86_64): staggered_1.2.1.tgz
Old sources: staggered archive

Reverse dependencies:

Reverse imports: did2s

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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