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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. (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.

Versions across snapshots

VersionRepositoryFileSize
1.1.6 rolling linux/jammy R-4.5 palm_1.1.6.tar.gz 217.1 KiB
1.1.6 rolling linux/noble R-4.5 palm_1.1.6.tar.gz 218.3 KiB
1.1.6 rolling source/ R- palm_1.1.6.tar.gz 50.5 KiB
1.1.6 latest linux/jammy R-4.5 palm_1.1.6.tar.gz 217.1 KiB
1.1.6 latest linux/noble R-4.5 palm_1.1.6.tar.gz 218.3 KiB
1.1.6 latest source/ R- palm_1.1.6.tar.gz 50.5 KiB
1.1.6 2026-04-26 source/ R- palm_1.1.6.tar.gz 50.5 KiB
1.1.6 2026-04-23 source/ R- palm_1.1.6.tar.gz 50.5 KiB
1.1.6 2026-04-09 windows/windows R-4.5 palm_1.1.6.zip 541.0 KiB
1.1.5 2025-04-20 source/ R- palm_1.1.5.tar.gz 50.0 KiB

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