Package: palm
Type: Package
Title: Fitting Point Process Models via the Palm Likelihood
Version: 1.1.7
Date: 2026-08-07
Authors@R: person(given = "Ben C.",
      		  family = "Stevenson",
                  role = c("aut", "cre"),
                  email = "ben.stevenson@st-andrews.ac.uk")
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: 2026-08-19 13:02:48 UTC; ben
Author: Ben C. Stevenson [aut, cre]
Maintainer: Ben C. Stevenson <ben.stevenson@st-andrews.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-20 05:20:59 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-08-20 06:26:55 UTC; unix
Archs: palm.so.dSYM
