Package: stelfi 1.0.1
stelfi: Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder
Fit Hawkes and log-Gaussian Cox process models with extensions. Introduced in Hawkes (1971) <doi:10.2307/2334319> a Hawkes process is a self-exciting temporal point process where the occurrence of an event immediately increases the chance of another. We extend this to consider self-inhibiting process and a non-homogeneous background rate. A log-Gaussian Cox process is a Poisson point process where the log-intensity is given by a Gaussian random field. We extend this to a joint likelihood formulation fitting a marked log-Gaussian Cox model. In addition, the package offers functionality to fit self-exciting spatiotemporal point processes. Models are fitted via maximum likelihood using 'TMB' (Template Model Builder). Where included 1) random fields are assumed to be Gaussian and are integrated over using the Laplace approximation and 2) a stochastic partial differential equation model, introduced by Lindgren, Rue, and Lindström. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>, is defined for the field(s).
Authors:
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stelfi.pdf |stelfi.html✨
stelfi/json (API)
NEWS
# Install 'stelfi' in R: |
install.packages('stelfi', repos = c('https://cmjt.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cmjt/stelfi/issues
- horse_mesh - Example Delaunay triangulation
- horse_sf - Example 'sf' 'POLYGON'
- iraq_terrorism - Terrorism in Iraq, 2013 - 2017
- marked - Example marked point pattern data set
- 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
- uk_serial - Serial killers of the UK, 1828 - 2015
- xyt - Self-exciting point pattern
Last updated 22 days agofrom:4aa14a9c70. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-win-x86_64 | OK | Oct 16 2024 |
R-4.5-linux-x86_64 | OK | Oct 16 2024 |
R-4.4-win-x86_64 | OK | Oct 16 2024 |
R-4.4-mac-x86_64 | OK | Oct 16 2024 |
R-4.4-mac-aarch64 | OK | Oct 16 2024 |
R-4.3-win-x86_64 | OK | Oct 16 2024 |
R-4.3-mac-x86_64 | OK | Oct 16 2024 |
R-4.3-mac-aarch64 | OK | Oct 16 2024 |
Exports:compensator_differencesfit_hawkesfit_hawkes_cbffit_lgcpfit_mhawkesfit_mlgcpfit_stelfiget_coefsget_fieldsget_weightsmesh_2_sfmeshmetricsshow_fieldshow_hawkesshow_hawkes_GOFshow_lambdashow_multivariate_hawkessim_hawkessim_lgcp
Dependencies:classclassIntclicolorspacecpp11DBIdplyre1071fansifarverfmeshergenericsggplot2gluegridExtragtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxypurrrR6RColorBrewerRcppRcppEigenrlangs2scalessfspstringistringrtibbletidyrtidyselectTMBunitsutf8vctrsviridisLitewithrwk