- None
- Fitting of multivariate Hawkes processes
fit_mhawkes()
- Moved away from using
INLA
functionality tofmesher
- Manually creating alias for package-level documentation
- Additional testthat tests for fitting functions
fit_mhawkes()
andfit_mlgcp()
- None
- None
- Bug fix for
show_hawkes_GOF()
, compensator plotted on goodness of fit plots - Additional testthat tests for utility functions
meshmetrics()
,show_hawkes_GOF()
, andget_fields()
- Additional testthat tests for fitting/simulation functions
sim_hawkes(..., method = "2")
andsim_lgcp()
Model fitting functions include
fit_hawkes()
andfit_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