palm (1.1.3)

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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) , 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) . 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 ). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.

Maintainer: Ben Stevenson
Author(s): Ben Stevenson <>

License: GPL

Uses: gsl, minqa, mvtnorm, R6, Rcpp, spatstat, testthat

Released 11 months ago.

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