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:	1.1.5
Depends:	R (≥ 3.0.0), Rcpp (≥ 0.11.5)
Imports:	gsl, methods, minqa, mvtnorm, R6
LinkingTo:	Rcpp
Suggests:	testthat
Published:	2023-09-22
DOI:	10.32614/CRAN.package.palm
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

Documentation:

Reference manual:

palm.pdf

Downloads:

Package source:	palm_1.1.5.tar.gz
Windows binaries:	r-devel: palm_1.1.5.zip, r-release: palm_1.1.5.zip, r-oldrel: palm_1.1.5.zip
macOS binaries:	r-release (arm64): palm_1.1.5.tgz, r-oldrel (arm64): palm_1.1.5.tgz, r-release (x86_64): palm_1.1.5.tgz, r-oldrel (x86_64): palm_1.1.5.tgz
Old sources:	palm archive

Linking:

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