fdid 1.0.2
- Replaced
options(warn = -1) with
suppressWarnings() in internal helper
silent_ebalance() for CRAN compliance (avoids global state
modification).
fdid 0.2.0
- Initial public release.
- Implements six estimation methods:
ols1,
ols2, did, ebal,
ipw, aipw.
- Supports robust, bootstrap, and jackknife variance estimation.
- Parallel computation via
foreach/doParallel for bootstrap and
jackknife.
fdid_prepare() for reshaping long-format panel
data.fdid_list() for comparing multiple estimates.- S3 methods:
print, summary,
plot for fdid and fdid_list
objects.
- Built-in
mortality dataset (Cao et al. 2022, China
Great Famine).
- Reference: Xu, Zhao & Ding (2026) doi:10.1080/01621459.2026.2628343.