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lgcp

Log-Gaussian Cox Process

Installation

About

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.

Citation lgcp citation info

Key Metrics

Version 2.0
R ≥ 2.10
Published 2023-10-03 199 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Benjamin M. Taylor

benjamin.taylor.software@gmail.com

Authors

Benjamin M. Taylor
Tilman M. Davies
Barry S. Rowlingson
Peter J. Diggle. Additional code contributions from Edzer Pebesma
Dominic Schumacher.

Material

README
NEWS
Reference manual
Package source

Vignettes

lgcp

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lgcp archive

Depends

R ≥ 2.10

Imports

spatstat.geom
spatstat.explore
spatstat.utils
sp
sf
raster
tcltk
iterators
ncdf4
methods
rpanel ≥ 1.1-3
fields
Matrix