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.