Package: staggered 1.2.2

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 (2023) <doi:10.48550/arXiv.2102.01291>.

Authors:Jonathan Roth [aut], Pedro H.C. Sant'Anna [aut, cre]

staggered_1.2.2.tar.gz
staggered_1.2.2.zip(r-4.5)staggered_1.2.2.zip(r-4.4)staggered_1.2.2.zip(r-4.3)
staggered_1.2.2.tgz(r-4.5-x86_64)staggered_1.2.2.tgz(r-4.5-arm64)staggered_1.2.2.tgz(r-4.4-x86_64)staggered_1.2.2.tgz(r-4.4-arm64)staggered_1.2.2.tgz(r-4.3-x86_64)staggered_1.2.2.tgz(r-4.3-arm64)
staggered_1.2.2.tar.gz(r-4.5-noble)staggered_1.2.2.tar.gz(r-4.4-noble)
staggered_1.2.2.tgz(r-4.4-emscripten)staggered_1.2.2.tgz(r-4.3-emscripten)
staggered.pdf |staggered.html
staggered/json (API)

# Install 'staggered' in R:
install.packages('staggered', repos = c('https://pedrohcgs.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.86 score 1 packages 24 scripts 733 downloads 4 exports 11 dependencies

Last updated 2 months agofrom:9ffa13c15d. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-win-x86_64OKMar 10 2025
R-4.5-mac-x86_64OKMar 10 2025
R-4.5-mac-aarch64OKMar 10 2025
R-4.5-linux-x86_64OKMar 10 2025
R-4.4-win-x86_64OKMar 10 2025
R-4.4-mac-x86_64OKMar 10 2025
R-4.4-mac-aarch64OKMar 10 2025
R-4.4-linux-x86_64OKMar 10 2025
R-4.3-win-x86_64OKMar 10 2025
R-4.3-mac-x86_64OKMar 10 2025
R-4.3-mac-aarch64OKMar 10 2025

Exports:balance_checksstaggeredstaggered_csstaggered_sa

Dependencies:clidata.tablegluelifecyclemagrittrMASSpurrrRcppRcppEigenrlangvctrs