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.

Version: 1.4
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: 2017-04-12
Author: Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle. Additional code contributions from Edzer Pebesma.
Maintainer: Benjamin M. Taylor <b.taylor1 at lancaster.ac.uk>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: lgcp citation info
Materials: README NEWS
In views: SpatioTemporal
CRAN checks: lgcp results

Downloads:

Reference manual: lgcp.pdf
Vignettes: lgcp
Package source: lgcp_1.4.tar.gz
Windows binaries: r-devel: lgcp_1.4.zip, r-release: lgcp_1.4.zip, r-oldrel: lgcp_1.4.zip
OS X binaries: r-release: not available, r-oldrel: lgcp_1.4.tgz
Old sources: lgcp archive

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