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