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, MouriƱo, and Dias Domingues
(2026), doi:10.48550/arXiv.2605.07829.