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 |
| 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: |
2023-10-03 |
| DOI: |
10.32614/CRAN.package.lgcp |
| 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 |
| CRAN checks: |
lgcp results |
Documentation:
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