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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0-1 |
rolling linux/jammy R-4.5 | lgcp_2.0-1.tar.gz |
1.3 MiB |
2.0-1 |
rolling linux/noble R-4.5 | lgcp_2.0-1.tar.gz |
1.3 MiB |
2.0-1 |
rolling source/ R- | lgcp_2.0-1.tar.gz |
306.5 KiB |
2.0-1 |
latest linux/jammy R-4.5 | lgcp_2.0-1.tar.gz |
1.3 MiB |
2.0-1 |
latest linux/noble R-4.5 | lgcp_2.0-1.tar.gz |
1.3 MiB |
2.0-1 |
latest source/ R- | lgcp_2.0-1.tar.gz |
306.5 KiB |
2.0-1 |
2026-04-26 source/ R- | lgcp_2.0-1.tar.gz |
306.5 KiB |
2.0-1 |
2026-04-23 source/ R- | lgcp_2.0-1.tar.gz |
306.5 KiB |
2.0-1 |
2026-04-09 windows/windows R-4.5 | lgcp_2.0-1.zip |
1.3 MiB |
2.0 |
2025-04-20 source/ R- | lgcp_2.0.tar.gz |
306.8 KiB |