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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: 2024-02-01
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.pdf
Vignettes: bayesPO

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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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