clamp_grids             Clamp Environmental Grids
compute_mess            Compute MESS (Multivariate Environmental
                        Similarity Surface)
compute_mess_range      Compute MESS from Min/Max Ranges
compute_percent_contribution
                        Compute Percent Contribution
compute_permutation_importance
                        Compute Permutation Importance
compute_response_curve
                        Compute Java-compatible Marginal Response Curve
compute_response_curve_fixed
                        Compute Java-compatible Response Curve with
                        Fixed Values
compute_variable_ranges
                        Compute Variable Ranges from Grids
coords_to_rowcol        Convert geographic coordinates to row/col
create_grid_dimension   Create a GridDimension object
create_grid_float       Create a float Grid object
create_hinge_feature    Create a HingeFeature object
create_layer            Create a Layer metadata object
create_linear_feature   Create a LinearFeature object
create_product_feature
                        Create a ProductFeature object
create_quadratic_feature
                        Create a QuadraticFeature object
create_sample           Create a Sample object
create_threshold_feature
                        Create a ThresholdFeature object
csv_close               Close a CsvReader
csv_headers             Get CSV column headers
csv_next_record         Read the next CSV record
csv_open                Open a CSV file for reading
csv_read_double_column
                        Read an entire named column as doubles
csv_writer_close        Close a CsvWriter
csv_writer_open         Open a CSV file for writing
csv_writer_print        Write a value into the current row of a CSV
csv_writer_print_double
                        Write a numeric value into the current row of a
                        CSV
csv_writer_println      Flush the current CSV row to disk
eval_auc                Compute AUC (Area Under the ROC Curve)
eval_correlation        Compute Pearson Correlation
eval_logloss            Compute Log-Loss
eval_misclassification
                        Compute Misclassification Rate
eval_model              Full Model Evaluation
eval_square_error       Compute Mean Squared Error
example_occ_df          Species occurrence points from Abeillia
                        abeillei presence points after download and
                        clean from GBIF. This is a hummingbird example.
                        A dataset with three variables. Contains
                        scientific name, longitude and latitude.
extract_predictions_raw
                        Extract Java-compatible Raw Predictions at
                        Sample Locations
feature_eval            Evaluate a feature at a given index
feature_get_info        Get feature metadata
generate_features       Generate features from a list of environmental
                        variable vectors
get_grid_dimension_info
                        Get grid dimension properties
get_layer_info          Get layer metadata
get_sample_info         Get sample properties
grid_float_from_matrix
                        Create a GridFloat from an R matrix
grid_float_info         Get grid information for an ASC-loaded grid
grid_float_to_matrix    Extract the data from a GridFloat as an R
                        matrix
grid_from_matrix        Set grid from matrix
grid_get_value          Get grid value
grid_get_values_batch   Extract multiple values from a Grid at given
                        row/col indices (batch)
grid_has_data           Check if grid cell has data
grid_read_asc           Read an ESRI ASCII grid (.asc) file
grid_read_file          Read a grid from file (auto-detect format)
grid_set_value          Set grid value
grid_to_matrix          Get grid as matrix
grid_write_asc          Write a float Grid to an ESRI ASCII (.asc) file
layer_name_from_path    Extract a layer name from a file path
maxent_append_results_csv
                        Append a Row to maxentResults.csv
maxent_auc              Compute AUC (Area Under the ROC Curve)
maxent_background_indices
                        Generate Background Sample Indices
maxent_clamp            Clamp Environmental Grids
maxent_color_ramp       Generate the Maxent Canonical Color Ramp
maxent_correlation      Compute Pearson Correlation
maxent_csv_close        Close a CSV Reader
maxent_csv_headers      Get CSV Column Headers
maxent_csv_next         Read the Next CSV Record
maxent_csv_open         Open a CSV File for Reading
maxent_csv_read_column
                        Read an Entire Column as Doubles
maxent_csv_write        Write a String Value to the Current CSV Row
maxent_csv_write_close
                        Close a CSV Writer
maxent_csv_write_num    Write a Numeric Value to the Current CSV Row
maxent_csv_write_open   Open a CSV File for Writing
maxent_csv_write_row    Flush the Current Row to the CSV File
maxent_dimension        Create a Grid Dimension Object
maxent_evaluate         Full Model Evaluation
maxent_extract_lambdas
                        Extract Lambda Values from a Maxent Run Result
maxent_extract_occurrence_env_terra
                        Extract environmental values for occurrences
                        from a terra SpatRaster
maxent_extract_predictions_cloglog
                        Extract Cloglog Predictions at Sample Locations
maxent_extract_predictions_logistic
                        Extract Logistic Predictions at Sample
                        Locations
maxent_extract_predictions_raw
                        Extract Raw Predictions at Sample Locations
maxent_feature_eval     Evaluate a Feature at a Given Index
maxent_feature_info     Get Feature Properties
maxent_featured_space   Create a FeaturedSpace Object
maxent_featured_space_create
                        Create a FeaturedSpace object
maxent_featured_space_from_callback
                        Create a FeaturedSpace from a streaming
                        background provider
maxent_featured_space_from_rast
                        Create a FeaturedSpace directly from a terra
                        SpatRaster
maxent_featured_space_info
                        Get FeaturedSpace metadata
maxent_fit              Train a MaxEnt Model
maxent_generate_features
                        Generate Features from Environmental Variable
                        Data
maxent_get_entropy      Get entropy of a FeaturedSpace distribution
maxent_get_loss         Get current loss of a FeaturedSpace
maxent_get_weights      Get current distribution weights from a
                        FeaturedSpace
maxent_grid             Create a Grid Object
maxent_grid_from_matrix
                        Create a Grid from an R Matrix
maxent_grid_from_terra
                        Convert a terra SpatRaster to a maxentcpp
                        GridFloat
maxent_grid_info        Get Grid Information
maxent_grid_to_matrix   Convert Grid to R Matrix
maxent_grid_to_terra    Convert a maxentcpp GridFloat to a terra
                        SpatRaster
maxent_hinge_feature    Create a Hinge Feature
maxent_layer            Create a Layer Metadata Object
maxent_layer_info       Get Layer Metadata
maxent_layer_name       Extract Layer Name from a File Path
maxent_linear_feature   Create a Linear Feature
maxent_load_lambdas     Load Model Lambdas from File
maxent_logloss          Compute Log-Loss
maxent_mess             Compute MESS (Multivariate Environmental
                        Similarity Surface)
maxent_mess_range       Compute MESS from Min/Max Ranges
maxent_misclassification
                        Compute Misclassification Rate
maxent_model_entropy    Get Model Entropy
maxent_model_loss       Get Model Loss
maxent_model_weights    Get Model Distribution Weights
maxent_percent_contribution
                        Compute Percent Contribution
maxent_permutation_importance
                        Compute Permutation Importance
maxent_plot_response_curves
                        Write Response Curve PNGs for All Variables
maxent_plot_variable_importance
                        Write a Variable Importance Bar Chart PNG
maxent_predict          Predict with a trained FeaturedSpace model
maxent_predict_model    Predict with a Trained MaxEnt Model
maxent_print_results    Print Maxent Model Results
maxent_product_feature
                        Create a Product Feature
maxent_project_cloglog
                        Project Model onto Grids (Cloglog Output)
maxent_project_logistic
                        Project Model onto Grids (Logistic Output)
maxent_project_raw      Project Model onto Grids (Raw Output)
maxent_quadratic_feature
                        Create a Quadratic Feature
maxent_raster_sample_indices
                        Convert occurrence coordinates to 0-based
                        stream indices
maxent_read_asc         Read an ESRI ASCII Grid File
maxent_read_grid        Read a Grid File (Auto-Detect Format)
maxent_read_lambdas     Read feature lambdas from a file
maxent_read_occurrences
                        Read Species Occurrence Data
maxent_response_curve   Compute Marginal Response Curve
maxent_response_curve_fixed
                        Compute Response Curve with Fixed Values
maxent_run              Run a Complete Maxent Species Distribution
                        Modelling Workflow
maxent_sample           Create a MaxEnt Sample Object
maxent_save_lambdas     Save Model Lambdas to File
maxent_sequential_fit   Train a MaxEnt Model with the Java-Equivalent
                        Sequential Optimizer
maxent_set_sample_expectations
                        Set sample expectations for a FeaturedSpace
maxent_space_info       Get FeaturedSpace Information
maxent_square_error     Compute Mean Squared Error
maxent_threshold_feature
                        Create a Threshold Feature
maxent_train            Train a FeaturedSpace model
maxent_train_terra      Train MaxEnt directly from a terra SpatRaster
maxent_variable_ranges
                        Compute Variable Ranges from Grids
maxent_write_asc        Write a Grid to ESRI ASCII Format
maxent_write_lambdas    Write feature lambdas to a file
maxent_write_omission_csv
                        Write an Omission / Threshold CSV
maxent_write_prediction_png
                        Write a Maxent Prediction Grid as a PNG Image
maxent_write_sample_predictions
                        Write Sample Predictions CSV
print.maxent_sample     Print Sample Information
project_cloglog         Project Model onto Grids (Java-compatible
                        cloglog output)
project_logistic        Project Model onto Grids (Java-compatible
                        logistic output)
project_raw             Project Model onto Grids (Java-compatible raw
                        output)
sample_get_feature      Get feature value from a sample
sample_set_feature      Set feature value on a sample
