Man pages for correapvf/caretSDM
Species Distribution Models using caret
| blockCV2fold | Convert folds from blockCV to trainControl in caret |
| blockENM2fold | Create Spatial blocks using ENMeval |
| CI | Functions to calculate confidence intervals |
| clamp_data | Clamp values in a dataset |
| combine | Combine objects |
| confidence_map | Create confidence maps |
| confusionMatrix2 | Confusion Matrix for a caret model |
| createEnsemble | Create a ensemble from models |
| create.test.index | Create resampling index for test data |
| create.test.index.blockCV | Create resampling index for test data using blockCV |
| evaluate | Evaluate a caret model |
| jackknife | Jackknife test to measure variable importance |
| maxent | Maximum Entropy model |
| methods.maxent | Methods for maxent object |
| predict2 | Extract predictions train objects using a threshold |
| response | Calculate response plots for train models |
| ROCcurve | Plot a ROC curve |
| setThreshold | Set a threshold in a caret model |
| thresholder2 | Choose a Probability Threshold |
| trainControlSDM | Control parameters for train |
| twoClassSDM | Calculates performance metrics for two classes |
| varImp2 | Calculate variable importance |
