NEWS.md

In cmjt/stelfi: Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder

stelfi (development version)

stelfi 0.0.3

Breaking changes

• None

New features

• Fitting of multivariate Hawkes processes fit_mhawkes()
• Moved away from using INLA functionality to fmesher

Minor improvements and fixes

• Manually creating alias for package-level documentation
• Additional testthat tests for fitting functions fit_mhawkes() and fit_mlgcp()

stelfi 0.0.2

Breaking changes

• None

New features

• None

Minor improvements and fixes

• Bug fix for show_hawkes_GOF(), compensator plotted on goodness of fit plots
• Additional testthat tests for utility functions meshmetrics(), show_hawkes_GOF(), and get_fields()
• Additional testthat tests for fitting/simulation functions sim_hawkes(..., method = "2") and sim_lgcp()

stelfi 0.0.1

Initial release

Model fitting functions include

• fit_hawkes() and fit_hawkes_cbf() to 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

cmjt/stelfi documentation built on Oct. 25, 2023, 2:53 p.m.