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:
2.0-1
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:
2025年08月25日
Author:
Benjamin M. Taylor [aut, cre],
Tilman M. Davies [aut],
Barry S. Rowlingson [aut],
Peter J. Diggle [aut],
Edzer Pebesma [ctb],
Dominic Schumacher. [ctb]
Maintainer:
Benjamin M. Taylor <benjamin.taylor.software at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
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