Package: staggered 1.1

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) <arxiv:2102.01291>.

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

staggered_1.1.tar.gz
staggered_1.1.zip(r-4.5)staggered_1.1.zip(r-4.4)staggered_1.1.zip(r-4.3)
staggered_1.1.tgz(r-4.4-x86_64)staggered_1.1.tgz(r-4.4-arm64)staggered_1.1.tgz(r-4.3-x86_64)staggered_1.1.tgz(r-4.3-arm64)
staggered_1.1.tar.gz(r-4.5-noble)staggered_1.1.tar.gz(r-4.4-noble)
staggered_1.1.tgz(r-4.4-emscripten)staggered_1.1.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'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

3 exports 0.36 score 27 dependencies 1 dependents 20 scripts 475 downloads

Last updated 3 years agofrom:5a415c8133. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-win-x86_64NOTESep 03 2024
R-4.5-linux-x86_64NOTESep 03 2024
R-4.4-win-x86_64NOTESep 03 2024
R-4.4-mac-x86_64NOTESep 03 2024
R-4.4-mac-aarch64NOTESep 03 2024
R-4.3-win-x86_64NOTESep 03 2024
R-4.3-mac-x86_64NOTESep 03 2024
R-4.3-mac-aarch64NOTESep 03 2024

Exports:staggeredstaggered_csstaggered_sa

Dependencies:clicoopcpp11dplyrfansigenericsgluelifecyclemagrittrMASSpillarpkgconfigplyrpurrrR6RcppRcppEigenreshape2rlangstringistringrtibbletidyrtidyselectutf8vctrswithr