fit_mhawkes()
INLA
functionality to fmesher
fit_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