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.