Changes in version 0.1.0 (2026-07-31)                  

  - Initial release implementing Cox proportional hazards regression
    with missing not at random (MNAR) failure indicators following Liu
    and Liu (2026) doi:10.1007/s11222-026-10857-1.
  - Implements five estimators: Adjusted Imputation ("ai"), Adjusted
    Complete ("ac"), Missing at Random ("mar"), Complete-Case ("cc"),
    and Full-Data ("full").
  - Joint maximum likelihood estimation of probability models for
    outcome and missingness mechanism.
  - Nadaraya-Watson kernel estimation of missingness propensity with
    coordinate standardization and 5 kernel options.
  - Asymptotic sandwich variance estimator and nonparametric bootstrap
    variance estimator.
  - Convenience function coxmnar_compare() for multi-method comparison.
  - Data simulation wrapper simulate_coxmnar_data() supporting arbitrary
    mechanisms.