fixes: Staggered DiD Tools: Event Studies and ATT Aggregation
Provides tools for difference-in-differences (DiD) estimation and
visualization with staggered adoption. Includes run_es() for event-study
curves (dynamic effects by relative time) and calc_att() for aggregated
ATT estimation (overall, by cohort, by calendar time). Supports multiple
modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021),
Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX.
| Version: |
0.11.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, ggplot2, fixest, broom, tibble, rlang, Rcpp, scales |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, rmarkdown, haven, testthat, plotly, tidyr, did, didimputation, modelsummary, tinytable, lpSolveAPI, Rglpk, TruncatedNormal, Matrix, pracma, HonestDiD |
| Published: |
2026-06-11 |
| DOI: |
10.32614/CRAN.package.fixes |
| Author: |
Yosuke Abe [aut, cre] |
| Maintainer: |
Yosuke Abe <yosuke.abe0507 at gmail.com> |
| BugReports: |
https://github.com/yo5uke/fixes/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/yo5uke/fixes, https://yo5uke.com/fixes/ |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
fixes results |
Documentation:
Downloads:
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