| analyze_temporal_patterns | Analyze Temporal Patterns in Binary Raster Time Series |
| analyze_trends_by_spatial_unit | Summarize Temporal Patterns and Trends by Spatial Unit |
| build_temporal_gam | Build Temporal GAM Models Across Cross-Validation Folds |
| build_temporal_glm | Build Temporal GLM Models Across Cross-Validation Folds |
| build_temporal_hv | Build Temporal Hypervolume Models Across Cross-Validation Folds |
| build_temporal_rf | Build Temporal Random Forest Models Across Cross-Validation Folds |
| extdata | Bundled rasters, point files, and prediction outputs |
| generate_absences | Generate Temporally Explicit Pseudoabsence Points |
| generate_spatiotemporal_predictions | Generate Spatiotemporal Predictions from Temporal Models |
| plot_model_assessment | Visualize Model Assessment Metrics Across Time |
| raster_align | Align and Standardize Raster Files to a Reference Raster |
| scale_rasters | Scale Environmental Rasters Using Species Occurrence Data |
| spatiotemporal_partition | Spatiotemporal Cross-Validation Partitioning |
| spatiotemporal_rarefaction | Spatiotemporal Rarefaction of Species Occurrence Data |
| summarize_raster_outputs | Summarize Prediction Rasters into Consensus Outputs |
| temporally_explicit_extraction | Extract Time-Aligned Environmental Values at Species Occurrences |
| tmr_absences | Pre-built pseudoabsence result (seasonal workflow) |
| tmr_absences_annual | Pre-built pseudoabsence result (annual workflow) |
| tmr_glm | Pre-built GLM result (seasonal workflow) |
| tmr_glm_annual | Pre-built GLM result (annual workflow) |
| tmr_partition | Pre-built spatiotemporal partition (seasonal workflow) |
| tmr_partition_annual | Pre-built spatiotemporal partition (annual workflow) |
| tmr_partition_small | Pre-built spatiotemporal partition, small version (seasonal workflow) |
| tmr_predictions | Pre-built spatiotemporal predictions (seasonal workflow) |
| tmr_predictions_annual | Pre-built spatiotemporal predictions (annual workflow) |