Package: fastdid 1.0.7

fastdid: Fast Staggered Difference-in-Difference Estimators

A fast and flexible implementation of Callaway and Sant'Anna's (2021)<doi:10.1016/j.jeconom.2020.12.001> staggered Difference-in-Differences (DiD) estimators, 'fastdid' reduces the computation time from hours to seconds, and incorporates extensions such as time-varying covariates and multiple events.

Authors:Lin-Tung Tsai [aut, cre, cph], Maxwell Kellogg [ctb], Kuan-Ju Tseng [ctb]

fastdid_1.0.7.tar.gz
fastdid_1.0.7.zip(r-4.7-any)fastdid_1.0.7.zip(r-4.6-any)fastdid_1.0.7.zip(r-4.5-any)
fastdid_1.0.7.tgz(r-4.6-any)fastdid_1.0.7.tgz(r-4.5-any)
fastdid_1.0.7.tar.gz(r-4.7-any)fastdid_1.0.7.tar.gz(r-4.6-any)
fastdid_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastdid/json (API)

# Install 'fastdid' in R:

install.packages('fastdid', repos = c('https://tsailintung.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tsailintung/fastdid/issues

Pkgdown/docs site:https://tsailintung.github.io

On CRAN:

difference-in-differences event-study staggered-did

6.20 score 32 stars 8 scripts 291 downloads 3 exports 32 dependencies

Last updated from:403307a6a9. Checks:2 NOTE, 7 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	380
source / vignettes	OK	222
linux-release	OK	395
macos-release	OK	384
macos-oldrel	OK	388
windows-devel	NOTE	299
windows-release	OK	237
windows-oldrel	OK	318
wasm-release	OK	168