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
|
| Maintainer: | Guido Alberti Moreira <guidoalber at gmail.com> |
| Contact: | Guido Alberti Moreira <guidoalber@gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | bayesPO results |
| Reference manual: | bayesPO.html , bayesPO.pdf |
| Vignettes: |
bayesPO (source, R code) |
| Package source: | bayesPO_0.5.0.tar.gz |
| Windows binaries: | r-devel: bayesPO_0.5.0.zip, r-release: bayesPO_0.5.0.zip, r-oldrel: bayesPO_0.5.0.zip |
| macOS binaries: | r-release (arm64): bayesPO_0.5.0.tgz, r-oldrel (arm64): bayesPO_0.5.0.tgz, r-release (x86_64): bayesPO_0.5.0.tgz, r-oldrel (x86_64): bayesPO_0.5.0.tgz |
| Old sources: | bayesPO archive |
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