Package: fastdid 1.0.3

Lin-Tung Tsai

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_1.0.3.tar.gz
fastdid_1.0.3.tar.gz(r-4.5-noble)fastdid_1.0.3.tar.gz(r-4.4-noble)
fastdid_1.0.3.tgz(r-4.4-emscripten)fastdid_1.0.3.tgz(r-4.3-emscripten)
fastdid.pdf |fastdid.html✨
fastdid/json (API)
NEWS

# Install 'fastdid' in R:
install.packages('fastdid', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

3.30 score 3 scripts 139 downloads 3 exports 42 dependencies

Last updated 18 days agofrom:8d0a67c489. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-linuxOKNov 05 2024

Exports:fastdidplot_did_dynamicssim_did

Dependencies:BMiscclicollapsecolorspacedata.tabledplyrdreamerrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparglmpillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalesstringistringmagicstringrtibbletidyselectutf8vctrsviridisLitewithr

Introduction to Double DiD

Rendered fromdouble.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2024-10-28
Started: 2024-10-28

Miscellaneous Topics

Rendered frommisc.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2024-10-28
Started: 2024-10-28