Package: palm
Type: Package
Title: Fitting Point Process Models via the Palm Likelihood
Version: 1.1.6
Date: 2025-07-25
Authors@R: person(given = "Ben",
      		  family = "Stevenson",
                  role = c("aut", "cre"),
                  email = "ben.stevenson@auckland.ac.nz")
Depends: R (>= 3.0.0), Rcpp (>= 0.11.5)
Imports: gsl, methods, minqa, mvtnorm, R6
LinkingTo: Rcpp
Suggests: testthat
Description: 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.
License: GPL
URL: https://github.com/b-steve/palm
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-07-25 05:07:25 UTC; ben
Author: Ben Stevenson [aut, cre]
Maintainer: Ben Stevenson <ben.stevenson@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2025-07-25 05:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 21:02:07 UTC; unix
Archs: palm.so.dSYM
