# coxmnar 0.1.0 — Initial CRAN release

* 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.
