# smsncut 0.1.0

* Initial release on CRAN.
* Core SMSN distribution functions: `smsn_fit`, `smsn_density`, `smsn_cdf`,
  `smsn_quantile`, `smsn_rdist`.
* Decision-theoretic cutoff: `cutoff_optimal`, `cutoff_youden`, `cutoff_risk`,
  `cutoff_phi`.
* Asymptotic inference: `cutoff_variance`, `cutoff_ci`, `cutoff_identifiability`.
* Admissible interval tools: `cutoff_admissible_interval`, `cutoff_boundary_check`,
  `cutoff_build_interval`, `cutoff_expand_interval_until_valid`.
* ROC analysis: `smsn_roc`, `smsn_auc`.
* Monte Carlo simulation: `mc_one_rep`, `mc_simulate_scenario`, `mc_run_all`.
* `smsn_fit` uses Richardson extrapolation (`numDeriv::hessian`) for the
  observed Fisher information matrix, critical for accurate variance estimation.
* Implements the methodology of de Paula, Mouriño, and Dias Domingues (2026),
  <doi:10.48550/arXiv.2605.07829>.
