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@cmjt cmjt released this 06 Nov 22:05
· 106 commits to master since this release

The initial release of the package.

Model fitting functions

  • fit_hawkes() and fit_hawkes_cbf() fit self-exciting Hawkes processes to temporal point pattern data
  • fit_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 progression
  • fit_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