Bayesian Inference for Presence-Only Data [R package bayesPO version 0.5.0]

Guido Alberti Moreira

bayesPO: Bayesian Inference for Presence-Only Data

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年02月01日

DOI: 10.32614/CRAN.package.bayesPO

Author: Guido Alberti Moreira ORCID iD [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

Documentation:

Reference manual: bayesPO.html , bayesPO.pdf

Vignettes: bayesPO (source, R code)

Downloads:

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

Linking:

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