Package index • maxentcpp

All functions

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