Autoeffect model p-values now use the t-distribution (via cumulative_effects()) instead of manually computing with the normal distribution. This fixes inflated Type I error rates for DAR models. (#38)
Clustered standard error support for autoeffect models, delegating to autoeffect::cumulative_effects(cluster=). Unsupported SE adjustments (huber, arellano) now warn and skip. (#37)
Internal changes
Moved SE adjustment behavior into the model type registry, replacing if-else chain in noconf_postmodel(). (#37)
Autoeffect models now extract covariates from the formula RHS like reg/autoreg models, eliminating separate x_formula or cov_names parameters. Deprecation warnings added for the old interface. (#36)
Internal changes
Restored match.arg() for type and call validation in new_optic_model() constructor. (#35)
Added autoeffect model type support for debiased autoregressive treatment effect estimation. New model type "autoeffect" integrates with the autoeffect package. (#34)