Functions for the fitting of 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 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.
|Depends:||R (≥ 3.0.0), Rcpp (≥ 0.11.5)|
|Imports:||gsl, methods, mvtnorm, R6, spatstat|
|Maintainer:||Ben Stevenson <ben.stevenson at auckland.ac.nz>|
|License:||GPL-2 | GPL-3 [expanded from: GPL]|
|CRAN checks:||palm results|
|Windows binaries:||r-devel: palm_1.0.0.zip, r-release: palm_1.0.0.zip, r-oldrel: palm_1.0.0.zip|
|OS X Mavericks binaries:||r-release: palm_1.0.0.tgz, r-oldrel: palm_1.0.0.tgz|
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