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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 dependencyThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.