Optimal Diagnostic Cutoff Selection under Scale Mixtures of
Skew-Normal Distributions
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Documentation for package ‘smsncut’ version 0.1.0
Help Pages
| cutoff_admissible_interval | Construct the admissible interval [a, b] |
| cutoff_boundary_check | Verify boundary conditions of Proposition 5.7 |
| cutoff_build_interval | Build a padded search interval for cutoff root-finding |
| cutoff_ci | Wald confidence interval for the optimal cutoff |
| cutoff_expand_interval_until_valid | Expand the search interval until boundary conditions hold |
| cutoff_identifiability | Local identifiability diagnostic |
| cutoff_optimal | Optimal diagnostic cutoff under SMSN distributions |
| cutoff_phi | Estimating equation phi(c, theta) |
| cutoff_risk | Weighted misclassification risk |
| cutoff_variance | Asymptotic variance of the plug-in cutoff estimator |
| cutoff_youden | Parametric Youden cutoff under SMSN distributions |
| mc_one_rep | Run one Monte Carlo replication |
| mc_run_all | Run all scenarios |
| mc_simulate_scenario | Monte Carlo simulation for one scenario |
| smsn_auc | Plug-in AUC estimator under SMSN distributions |
| smsn_cdf | CDF of an SMSN distribution |
| smsn_density | Density of an SMSN distribution |
| smsn_fit | Fit an SMSN model by maximum likelihood |
| smsn_quantile | Quantile function of an SMSN distribution |
| smsn_rdist | Random generation from an SMSN distribution |
| smsn_roc | Parametric ROC curve under SMSN distributions |