Presence-Only data is best modelled with a Point Process Model.
The work of Moreira (2020) provides a way to use exact Bayesian
inference to model this type of data, which is implemented in this package.
Version: |
0.3.1 |
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: |
2021-10-26 |
Author: |
Guido Alberti Moreira
[cre, aut] |
Maintainer: |
Guido Alberti Moreira <guidoalber at gmail.com> |
Contact: |
Guido Alberti Moreira <guidoalber@gmail.com> |
License: |
GPL-3 |
URL: |
<http://www.pg.im.ufrj.br/teses/Estatistica/Doutorado/043.pdf> |
NeedsCompilation: |
yes |
CRAN checks: |
bayesPO results |