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. (in press) <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, in press <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.

Getting started

Package details

AuthorBen Stevenson <[email protected]>
MaintainerBen Stevenson <[email protected]>
LicenseGPL
Version1.1.3
URL https://github.com/b-steve/palm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("palm")

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palm documentation built on May 1, 2019, 9:12 p.m.