Changes in version 1.2.4                        

New features

  - Added simulation performance statistics functions:
    sim_rejection_rate(), sim_bias(), sim_mse(),
    sim_correction_factor(), sim_coverage(), sim_type_s_error(),
    sim_correct_rejection_rate(), and summarize_simulation() for
    computing Type I error, power, bias, coverage, and related metrics
    from Monte Carlo simulation output.

                        Changes in version 1.2.3                        

Bug fixes

  - 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)

                        Changes in version 1.2.2                        

New features

  - 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)

                        Changes in version 1.2.1                        

Improvements

  - 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)

                        Changes in version 1.2.0                        

New features

  - Added autoeffect model type support for debiased autoregressive
    treatment effect estimation. New model type "autoeffect" integrates
    with the autoeffect package. (#34)