R: Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder

# Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder

## Documentation for package ‘stelfi’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

compensator_differences | Extract the compensator differences
fit_hawkes | Self-exciting Hawkes process(es)
fit_hawkes_cbf | Self-exciting Hawkes process(es)
fit_lgcp | Spatial or spatiotemporal log-Gaussian Cox process (LGCP)
fit_mhawkes | Self-exciting Hawkes process(es)
fit_mlgcp | Marked spatial log-Gaussian Cox process (mLGCP)
fit_stelfi | Modelling spatiotemporal self-excitement
get_coefs | Extract reported parameter estimates
get_fields | Estimated random field(s)
get_weights | Mesh weights
horse_mesh | Example Delaunay triangulation
horse_sf | Example 'sf' 'POLYGON'
iraq_terrorism | Terrorism in Iraq, 2013 - 2017
marked | Example marked point pattern data set
meshmetrics | Calculate a number of different geometric attributes of a Delaunay triangulation
mesh_2_sf | Transform a 'fmesher::fm_mesh_2d' into a 'sf' object
multi_hawkes | Example multivariate Hawkes dataset
nz_earthquakes | Earthquakes in Canterbury, NZ, 2010 - 2014
nz_murders | Murders of NZ, 2004 - 2019
retweets_niwa | Retweets of NIWA's viral leopard seal Tweet
sasquatch | Sasquatch (bigfoot) sightings in the USA, 2000 - 2005
show_field | Plot the estimated random field(s) of a fitted LGCP
show_hawkes | Plot Hawkes intensity
show_hawkes_GOF | Plot Hawkes intensity
show_lambda | Plot the estimated intensity from a fitted LGCP model
show_multivariate_hawkes | Multivariate Hawkes fitted model plot
sim_hawkes | Simulate a self-exciting Hawkes process
sim_lgcp | Simulate a log-Gaussian Cox process (LGCP)
uk_serial | Serial killers of the UK, 1828 - 2015
xyt | Self-exciting point pattern