Man pages for blockCV
Spatial and Environmental Blocking for Cross-Validation
| blockCV | blockCV: Spatial, Environmental, and Grouped Cross-Validation |
| cv_block_size | Explore spatial block size |
| cv_buffer | Use buffer around records to separate train and test folds... |
| cv_cluster | Use environmental or spatial clustering to separate train and... |
| cv_distance | Compare a cross-validation design to the prediction domain... |
| cv_group | Leave-group-out cross-validation using an existing grouping... |
| cv_knndm | Use the k-fold Nearest Neighbour Distance Matching (kNNDM) to... |
| cv_nndm | Use the Nearest Neighbour Distance Matching (NNDM) to... |
| cv_plot | Visualising folds created by blockCV in ggplot |
| cv_similarity | Compute similarity measures to evaluate possible... |
| cv_spatial | Use spatial blocks to separate train and test folds |
| cv_spatial_autocor | Measure spatial autocorrelation in spatial response data or... |
| cv_summary | Summarise the quality of a set of cross-validation folds |
