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: 1.3-13
Depends: R (≥ 2.10)
Imports: spatstat (≥ 1.40-0), sp, raster, tcltk, RandomFields, iterators, ncdf, methods, rpanel (≥ 1.1-3), fields, maptools, Matrix, rgeos
Suggests: sparr, rgdal, gpclib
Published: 2015-11-19
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


Reference manual: lgcp.pdf
Vignettes: lgcp
Package source: lgcp_1.3-13.tar.gz
Windows binaries: r-devel: lgcp_1.3-11.zip, r-release: lgcp_1.3-11.zip, r-oldrel: lgcp_1.3-11.zip
OS X Snow Leopard binaries: r-release: lgcp_1.3-11.tgz, r-oldrel: lgcp_1.3-9.tgz
OS X Mavericks binaries: r-release: lgcp_1.3-11.tgz
Old sources: lgcp archive