Functions for the fitting of 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 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.

Documentation

Manual: palm.pdf
Vignette: None available.

Maintainer: Ben Stevenson <ben.stevenson at auckland.ac.nz>

Author(s): Ben Stevenson <ben.stevenson at auckland.ac.nz>

Install package and any missing dependencies by running this line in your R console:

install.packages("palm")

Depends R (>= 3.0.0), Rcpp(>=0.11.5)
Imports gsl, methods, mvtnorm, R6, spatstat
Suggests testthat
Enhances
Linking to Rcpp
Reverse
depends
Reverse
imports
Reverse
suggests
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enhances
Reverse
linking to

Package palm
Materials
URL https://github.com/b-steve/palm
Task Views
Version 1.0.0
Published 2017-01-30
License GPL
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks palm check results
Package source palm_1.0.0.tar.gz