Man pages for pmesperanca/mlevcm
ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data
| confusion_plot | Confusion matrix plot |
| crossvalidation_levelplot | Cross-validation levelplot |
| dataSplit | Data split |
| fdaEstimation | Estimate parameters |
| fdaML_predict | Predict from machine learning model |
| fdaML_train | Train a Machine Learning model |
| fdaPlot | Diagnostics and performance plots |
| fdaPlotPred | Prediction results plot |
| fdaPrediction | Predict responses |
| fdaSmooth | Smooth spectra |
| GCV | Generalised Cross-Validation for penalty parameter |
| GET_auc | Compute AUC |
| GET_IdxQ_opt | Optimal 'Q' index |
| GET_lambda | Compute penalty parameter |
| GET_optROCcutoff | Compute optimal cutoff for classification |
| GET_rmsd | Compute RMSD |
| GET_roughness | Compute roughness of coefficient function |
| GET_weights | Compute weights |
| LossFunction_GLM | Penalised GLM objective function |
| LossFunction_LM | Penalised LM objective function |
| mlevcm-package | 'mlevcm': ML-based Epidemiological Vector Control Monitoring... |
| OCV | Ordinary Cross-Validation for penalty parameter |
