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: 1.6
Depends: R (≥ 2.10)
Imports: spatstat (≥ 1.50-0), spatstat.utils, sp, raster, tcltk, RandomFields, iterators, ncdf4, methods, rpanel (≥ 1.1-3), fields, maptools, Matrix, rgeos
Suggests: sparr, rgdal, gpclib
Published: 2020-03-06
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
In views: SpatioTemporal
CRAN checks: lgcp results


Reference manual: lgcp.pdf
Vignettes: lgcp
Package source: lgcp_1.6.tar.gz
Windows binaries: r-prerelease: lgcp_1.6.zip, r-release: lgcp_1.6.zip, r-oldrel: lgcp_1.6.zip
macOS binaries: r-prerelease: not available, r-release: not available, r-oldrel: not available
Old sources: lgcp archive


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