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 |