lgcp: Log-Gaussian Cox Process

Spatial and spatio-temporal modelling of point patterns using the log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal, multivariate and aggregated point processes using Markov chain Monte Carlo. See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2015) <doi:10.18637/jss.v063.i07>.

Version: 2.0
Depends: R (≥ 2.10)
Imports: spatstat.geom, spatstat.explore, spatstat.utils, sp, sf, raster, tcltk, iterators, ncdf4, methods, rpanel (≥ 1.1-3), fields, Matrix
Published: 2023-10-03
DOI: 10.32614/CRAN.package.lgcp
Author: Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle. Additional code contributions from Edzer Pebesma, Dominic Schumacher.
Maintainer: Benjamin M. Taylor <benjamin.taylor.software at gmail.com>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: lgcp citation info
Materials: README NEWS
CRAN checks: lgcp results


Reference manual: lgcp.pdf
Vignettes: lgcp


Package source: lgcp_2.0.tar.gz
Windows binaries: r-devel: lgcp_2.0.zip, r-release: lgcp_2.0.zip, r-oldrel: lgcp_2.0.zip
macOS binaries: r-release (arm64): lgcp_2.0.tgz, r-oldrel (arm64): lgcp_2.0.tgz, r-release (x86_64): lgcp_2.0.tgz, r-oldrel (x86_64): lgcp_2.0.tgz
Old sources: lgcp archive


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