Man pages for caretSDM
Build Species Distribution Modeling using 'caret'
| add_predictors | Add predictors to 'sdm_area' |
| add_scenarios | Add scenarios to 'sdm_area' |
| algorithms | Caret Algorithms |
| bioc | Bioclimatic Variables |
| buffer_sdm | Create buffer around occurrences |
| caretSDM-package | caretSDM: Build Species Distribution Modeling using 'caret' |
| data_clean | Presence data cleaning routine |
| GBIF_data | Retrieve Species data from GBIF |
| gcms_ensembles | Ensemble GCMs into one scenario |
| input_sdm | 'input_sdm' |
| is_input_sdm | 'is_class' functions to check caretSDM data classes. |
| join_area | Join Area |
| occ | Araucaria angustifolia occurrence data |
| occurrences_sdm | Occurrences Managing |
| parana | Paraná State |
| pca_predictors | Predictors as PCA-axes |
| pdp_sdm | Model Response to Variables |
| plot_occurrences | S3 Methods for plot and mapview |
| predictor_names | Predictors Names Managing |
| predict_sdm | Predict SDM models in new data |
| print.input_sdm | Print method for input_sdm |
| print.models | Print method for models |
| print.occurrences | Print method for occurrences |
| print.predictions | Print method for predictions |
| pseudoabsences | Obtain Pseudoabsences |
| rivs | Hydrologic Variables |
| salm | Salminus brasiliensis occurrence data |
| scen | Bioclimatic Variables |
| scen_rs | Bioclimatic Variables |
| sdm_area | Create a 'sdm_area' object |
| sdm_as_stars | 'sdm_as_X' functions to transform 'caretSDM' data into other... |
| summary_sdm | Calculates performance across resamples |
| tidyverse-methods | Tidyverse methods for caretSDM objects |
| train_sdm | Train SDM models |
| tsne_sdm | tSNE |
| use_esm | Ensemble of Small Models (ESM) in caretSDM |
| use_mem | MacroEcological Models (MEM) in caretSDM |
| varImp_sdm | Calculation of variable importance for models |
| vif_predictors | Calculate VIF |
| WorldClim_data | Download WorldClim v.2.1 bioclimatic data |
| write_ensembles | Write caretSDM data |
