palm: Fitting Point Process Models via the Palm Likelihood
Version 1.1.1

Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) , 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.

Getting started

Package details

AuthorBen Stevenson <[email protected]>
Date of publication2018-05-03 05:52:28 UTC
MaintainerBen Stevenson <[email protected]>
Package repositoryView on CRAN
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palm documentation built on May 3, 2018, 10:21 a.m.