Man pages for maxwestphal/SEPM.SIM
Statistical Evaluation of Prediction Models - Simulation Studies
| block_corrmat | Create a block correlation matrix |
| construct_mbeta | Define a multivariate beta distribution |
| draw_sample | Draw feature-label data sample |
| load_instance | Load MLE simulations instances from disk |
| pipe | Pipe operator |
| postproc_mle | Process MLE simulation results to investigate test decision... |
| sample_auc | Sample pseudo predictions from binormal AUC model |
| sample_lfc_acc | Generate artificial performance data (classification... |
| sample_lfc_cpe | Generate artificial performance data (sensitivity and... |
| sample_mbb_acc | Sample data from multivariate beta-binomial model |
| sample_mle | Generate artifical data and train prediction models |
| sample_pars | Sample parameters from multivariate binomial distribution |
| save_instance | Save MLE simulations instances to disk |
| save_results_mle | Save MLE simulation results in tabular form |
| select_setM | Select a subset of models |
| study_lfc_acc | Conduct an evaluation study (classification accuracy) |
| study_lfc_cpe | Conduct an evaluation study (sensitivity and specificity) |
| study_mbb_acc | Analyze synthetic data from multivariate beta-binomial model. |
| study_mle | Select models based on validation performance and conduct an... |
| summarize_results | Summarize simulation study in results table |
