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palm

Fitting Point Process Models via the Palm Likelihood

v1.1.6 · Jul 24, 2025 · GPL

Description

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. (2019) <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, 2019 <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.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
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Dependency Network

Dependencies Reverse dependencies Rcpp gsl minqa mvtnorm R6 palm

Version History

9 tracked
new 1.1.6 Mar 10, 2026
updated 1.1.6 ← 1.1.5 diff Jul 24, 2025
updated 1.1.5 ← 1.1.4 diff Sep 21, 2023
updated 1.1.4 ← 1.1.3 diff Sep 24, 2020
updated 1.1.3 ← 1.1.2 diff Dec 7, 2018
updated 1.1.2 ← 1.1.1 diff Nov 13, 2018
updated 1.1.1 ← 1.1.0 diff May 2, 2018
updated 1.1.0 ← 1.0.0 diff Nov 22, 2017
new 1.0.0 Jan 29, 2017