Man pages for RobinMDunn/ConformalTwoLayer
Distribution-Free Prediction Sets for Two-Layer Hierarchical Data
| pipe | Pipe operator |
| sup_generate_data | Generate data for supervised normal examples |
| sup_get_avg_Fhat | Estimate average F.hat_j(t) for CDF pooling with sample... |
| sup_get_avg_pval | Get average p-value for supervised repeated subsampling... |
| sup_get_pval | Get p-value for supervised subsampling methods |
| sup_pool_cdfs_split | Supervised CDF pooling method with sample splitting |
| sup_repeated_subsample | Supervised repeated subsampling method |
| sup_single_subsample | Supervised single subsampling method |
| unsup_avg_ecdf | Evaluate average empirical CDF at a certain threshold |
| unsup_double_conformal | Unsupervised double conformal method |
| unsup_generate_data | Generate data for unsupervised normal examples |
| unsup_get_avg_pvalue | Get average p-value for unsupervised repeated subsampling... |
| unsup_get_pval_group1 | Evaluate p-value of u compared to subject 1's sample |
| unsup_get_pval_shrinkage | Evaluate p-value of u using James-Stein shrinkage |
| unsup_get_pvalue | Get p-value for unsupervised subsampling methods |
| unsup_get_Y_tilde_1 | Get shrinkage estimate of mean for subject 1 |
| unsup_method_group_1 | Use only subject 1's observations to construct prediction set... |
| unsup_method_shrinkage | Shrinkage method to construct prediction set for a new... |
| unsup_pool_cdfs | Unsupervised CDF pooling method |
| unsup_pooled_pred_int | Construct intervals based on order statistics |
| unsup_repeated_subsample | Unsupervised repeated subsampling method |
| unsup_single_subsample | Unsupervised single subsample method |
