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palm
View on CRAN: Click
here
Download and install palm package within the R console
Install from CRAN:
install.packages("palm")
Install from Github:
library("remotes")
install_github("cran/palm") Install by package version:
library("remotes")
install_version("palm", "1.1.6") Attach the package and use:
library("palm")
Maintained by
Ben Stevenson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-30
Latest Update: 2025-07-25
Description:
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. (2019) . 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 ). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
How to cite:
Ben Stevenson (2017). palm: Fitting Point Process Models via the Palm Likelihood. R package version 1.1.6, https://cran.r-project.org/web/packages/palm. Accessed 07 Jun. 2026.
Previous versions and publish date:
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Complete documentation for palm
Functions, R codes and Examples using
the palm R package
Some associated functions: boot.palm . coef.palm . confint.palm . example.1D . example.2D . example.twocamera . fit.ns . fit.twocamera . fit.void . palm . plot.palm . porpoise.data . sim.ns . sim.twocamera . sim.void . summary.palm .
Some associated R codes: RcppExports.R . Full palm package functions and examples
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