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 void processes. 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. As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
Version: | 1.1.0 |
Depends: | R (≥ 3.0.0), Rcpp (≥ 0.11.5) |
Imports: | gsl, methods, mvtnorm, R6, spatstat |
LinkingTo: | Rcpp |
Suggests: | testthat |
Published: | 2017-11-23 |
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 |
Reference manual: | palm.pdf |
Package source: | palm_1.1.0.tar.gz |
Windows binaries: | r-devel: palm_1.1.0.zip, r-release: palm_1.1.0.zip, r-oldrel: palm_1.1.0.zip |
OS X El Capitan binaries: | r-release: palm_1.1.0.tgz |
OS X Mavericks binaries: | r-oldrel: palm_1.1.0.tgz |
Old sources: | palm archive |
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