palm: Fitting Point Process Models via the Palm Likelihood (original) (raw)
Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <doi:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <doi:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified—the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <doi:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
| Version: | 1.1.6 |
|---|---|
| Depends: | R (≥ 3.0.0), Rcpp (≥ 0.11.5) |
| Imports: | gsl, methods, minqa, mvtnorm, R6 |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2025-07-25 |
| DOI: | 10.32614/CRAN.package.palm |
| Author: | Ben Stevenson [aut, cre] |
| Maintainer: | Ben Stevenson <ben.stevenson at auckland.ac.nz> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://github.com/b-steve/palm |
| NeedsCompilation: | yes |
| Materials: | README, |
| CRAN checks: | palm results |
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