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
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

Documentation:

Reference manual: lgcp.pdf
Vignettes: lgcp

Downloads:

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
Old sources: lgcp archive

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