bayesPO
Bayesian Inference for Presence-Only Data
Presence-Only data is best modelled with a Point Process Model. The work of Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569> provides a way to use exact Bayesian inference to model this type of data, which is implemented in this package.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.0 |
rolling linux/jammy R-4.5 | bayesPO_0.5.0.tar.gz |
519.2 KiB |
0.5.0 |
rolling linux/noble R-4.5 | bayesPO_0.5.0.tar.gz |
524.7 KiB |
0.5.0 |
rolling source/ R- | bayesPO_0.5.0.tar.gz |
209.7 KiB |
0.5.0 |
latest linux/jammy R-4.5 | bayesPO_0.5.0.tar.gz |
519.2 KiB |
0.5.0 |
latest linux/noble R-4.5 | bayesPO_0.5.0.tar.gz |
524.7 KiB |
0.5.0 |
latest source/ R- | bayesPO_0.5.0.tar.gz |
209.7 KiB |
0.5.0 |
2026-04-26 source/ R- | bayesPO_0.5.0.tar.gz |
209.7 KiB |
0.5.0 |
2026-04-23 source/ R- | bayesPO_0.5.0.tar.gz |
209.7 KiB |
0.5.0 |
2026-04-09 windows/windows R-4.5 | bayesPO_0.5.0.zip |
925.4 KiB |
0.5.0 |
2025-04-20 source/ R- | bayesPO_0.5.0.tar.gz |
209.7 KiB |