# User-Friendly 'shiny' App for Bayesian Species Distribution Models

## Documentation for package ‘glossa’ version 1.0.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

buffer_polygon | Enlarge/Buffer a Polygon
clean_coordinates | Clean Coordinates of Presence/Absence Data
create_coords_layer | Create Geographic Coordinate Layers
cv_bart | Cross-Validation for BART Model
extract_noNA_cov_values | Extract Non-NA Covariate Values
fit_bart_model | Fit a BART Model Using Environmental Covariate Layers
generate_pseudo_absences | Generate Pseudo-Absence Points Based on Presence Points, Covariates, and Study Area Polygon
glossa_analysis | Main Analysis Function for GLOSSA Package
invert_polygon | Invert a Polygon
layer_mask | Apply Polygon Mask to Raster Layers
pa_optimal_cutoff | Optimal Cutoff for Presence-Absence Prediction
predict_bart | Make Predictions Using a BART Model
remove_duplicate_points | Remove Duplicated Points from a Dataframe
remove_points_polygon | Remove Points Inside or Outside a Polygon
response_curve_bart | Calculate Response Curve Using BART Model
run_glossa | Run GLOSSA Shiny App
variable_importance | Variable Importance in BART Model