The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 1.1
Depends: R (≥ 3.5.0)
Imports: dplyr, reshape2, purrr, Rcpp, magrittr, MASS, stats, tidyr, coop
LinkingTo: Rcpp, RcppEigen
Published: 2021-09-15
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_1.1.tar.gz
Windows binaries: r-devel: staggered_1.1.zip, r-release: staggered_1.1.zip, r-oldrel: staggered_1.1.zip
macOS binaries: r-release (arm64): staggered_1.1.tgz, r-oldrel (arm64): staggered_1.1.tgz, r-release (x86_64): staggered_1.1.tgz, r-oldrel (x86_64): staggered_1.1.tgz

Reverse dependencies:

Reverse imports: did2s

Linking:

Please use the canonical form https://CRAN.R-project.org/package=staggered to link to this page.

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.
Health stats visible at Monitor.