Initial release of triplediff in alpha stage, functions for computing group-time average treatment effects in DDD and combining them into a smaller number of parameters are available.
triplediff 0.1.1
Bug fix in cluster parameter. When user specifies a cluster variable, the function now correctly uses it for clustering standard errors performing Multiplier Bootstrap.
triplediff 0.1.2
Bug fix in preprocess when checking for small groups.
triplediff 0.2.0
CRAN release: 2026-01-16
Replaced parglm with fastglm to avoid issues related to parglm’s scheduled archival on 2026-01-29.
Added support for unbalanced panel data and repeated cross-sectional data by properly implementing the allow_unbalanced_panel parameter across all functions.
triplediff 0.2.1
Add asymmetric propensity score trimming for control units with pscore >= 0.995.
Add partition-specific collinearity detection with two-stage checking.
Add comprehensive test suite including Monte Carlo coverage test when trimming.