ElliotDovers/scampr: Spatially Correlated, Approximate Modelling of Point patterns in R
Fit log-Gaussian Cox Process regression models to point patterns with extensions, including a joint model for integrating presence-only and presence/absence data. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Latent random Gaussian fields are approximated by 'FRK' (Fixed Rank Kriging) and are integrated out using either variational or Laplace approximation. Gradients are calculated using automatic differentiation.
Getting started
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Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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