palm: Fitting Point Process Models via the Palm Likelihood

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: 1.1.4
Depends: R (≥ 3.0.0), Rcpp (≥ 0.11.5)
Imports: gsl, methods, minqa, mvtnorm, R6
LinkingTo: Rcpp
Suggests: testthat
Published: 2020-09-25
Author: Ben Stevenson
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 NEWS
CRAN checks: palm results

Downloads:

Reference manual: palm.pdf
Package source: palm_1.1.4.tar.gz
Windows binaries: r-devel: palm_1.1.4.zip, r-release: palm_1.1.4.zip, r-oldrel: palm_1.1.4.zip
macOS binaries: r-release: palm_1.1.4.tgz, r-oldrel: palm_1.1.4.tgz
Old sources: palm archive

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