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.">

bayesPO: Bayesian Inference for Presence-Only Data (original) (raw)

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 MoreiraORCID iD [cre, aut]
Maintainer: Guido Alberti Moreira
Contact: Guido Alberti Moreira guidoalber@gmail.com
License: GPL-3
NeedsCompilation: yes
CRAN checks: bayesPO results

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