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.
| Version: | 0.5.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp,coda, parallel, methods,RcppProgress, graphics, stats, tools |
| LinkingTo: | Rcpp,RcppEigen,RcppProgress |
| Suggests: | bayesplot,knitr,rmarkdown,webshot,ggplot2,MASS |
| Published: | 2024-02-01 |
| DOI: | 10.32614/CRAN.package.bayesPO |
| Author: | Guido Alberti Moreira [cre, aut] |
| Maintainer: | Guido Alberti Moreira <guidoalber at gmail.com> |
| Contact: | Guido Alberti Moreira <guidoalber@gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | bayesPO results |