Changes in version 1.0.2 (2025-09-15)                  

Breaking changes

  - None

New features

  - None

Minor improvements and fixes

  - fixing CRAN NOTE for CRAN (re)release

                        Changes in version 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()

                 Changes in version 0.0.2 (2023-04-06)                  

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()

                 Changes in version 0.0.1 (2022-11-03)                  

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