Package: fastdid 1.0.2

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_1.0.2.tar.gz
fastdid_1.0.2.tar.gz(r-4.5-noble)fastdid_1.0.2.tar.gz(r-4.4-noble)
fastdid_1.0.2.tgz(r-4.4-emscripten)fastdid_1.0.2.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

3.00 score 3 scripts 3 exports 42 dependencies

Last updated 2 days agofrom:c1454084fd. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-linuxOKOct 29 2024

Exports:fastdidplot_did_dynamicssim_did

Dependencies:BMiscclicollapsecolorspacedata.tabledplyrdreamerrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparglmpillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalesstringistringmagicstringrtibbletidyselectutf8vctrsviridisLitewithr

Introduction to Double DiD

Rendered fromdouble.Rmdusingknitr::rmarkdownon Oct 29 2024.

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

Miscellaneous Topics

Rendered frommisc.Rmdusingknitr::rmarkdownon Oct 29 2024.

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