Man pages for juoe/sdmflow
Flexible Workflows for Species Distribution Modeling
| crossv_cluster | Generate non-random cross-validated test-training pairs |
| extract_preds | Extract predictor values. |
| fit_models | Fit models |
| full_models | Get full models from sdmflow data.frame |
| jackknife | Do jackknife test of variable importance using Maxent models |
| maxent_selection | Select sets of uncorrelated variables for maxent modeling |
| mcp | Calculate Minimum Convex Polygon (MCP) of points... |
| name_models | Name Models |
| partial_dependence | Get partial variable dependences. |
| predict_models | Predict models |
| sample_background | Create sample of background points. |
| score_models | Add evaluation metrics to a tibble of models |
| sdm_grid | Fit a grid of SDMs |
| split_train_test | Create training-testing data splits for crossvalidation. |
| variable_importance | Get variable importance from data frame with models objects. |
