fit_mhawkes()INLA functionality to fmesherfit_mhawkes() and fit_mlgcp()show_hawkes_GOF(), compensator plotted on goodness of fit plotsmeshmetrics(), show_hawkes_GOF(), and get_fields()sim_hawkes(..., method = "2") and sim_lgcp()Model fitting functions include
fit_hawkes() and fit_hawkes_cbf() to fit self-exciting Hawkes processes to temporal point pattern datafit_lgcp() fits a log-Gaussian Cox process to either spatial or spatiotemporal point pattern data. If a spatiotemporal model is fitted an AR1 process is assumed for the temporal progressionfit_mlgcp() fits a joint likelihood model between the point locations and mark(s)fit_stelfi() fits self-exciting spatiotemporal Hawkes models to point pattern data. The self-excitement is Gaussian in space and exponentially decaying over time. In addition, a GMRF can be included to account for latent spatial dependency