check_model_fit | Check the fit of estimated self-correcting model on the reference point pattern dataset |
estimate_parameters_sc | Estimate parameters of the self-correcting model using log-likelihood optimization |
estimate_parameters_sc_parallel | Estimate parameters of the self-correcting model using log-likelihood maximization in parallel |
extract_covars | Extract covariate values from a set of rasters |
generate_mpp | Generate a marked process given locations and marks |
plot_mpp | Plot a marked point process |
power_law_mapping | Gentle decay (power-law) mapping function from sizes to arrival times |
predict_marks | Predict values from the mark distribution |
scale_rasters | Scale a set of rasters |
simulate_mpp | Simulate a realization of a location dependent marked point process |
simulate_sc | Simulate from the self-correcting model |
small_example_data | Small Example Data |
train_mark_model | Train a flexible model for the mark distribution |