Package: palm
Type: Package
Title: Fitting Point Process Models via the Palm Likelihood
Version: 1.1.0
Date: 2017-11-23
Author: Ben Stevenson <ben.stevenson@auckland.ac.nz>
Maintainer: Ben Stevenson <ben.stevenson@auckland.ac.nz>
Depends: R (>= 3.0.0), Rcpp (>= 0.11.5)
Imports: gsl, methods, mvtnorm, R6, spatstat
LinkingTo: Rcpp
Suggests: testthat
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 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.
License: GPL
URL: https://github.com/b-steve/palm
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-23 11:10:52 UTC; ben
Repository: CRAN
Date/Publication: 2017-11-23 11:22:04 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 16:38:11 UTC; windows
Archs: i386, x64
