bayesPO: Bayesian Inference for Presence-Only Data

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 ORCID iD [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

Documentation:

Reference manual: bayesPO.pdf
Vignettes: bayesPO

Downloads:

Package source: bayesPO_0.3.1.tar.gz
Windows binaries: r-devel: bayesPO_0.2.0.zip, r-devel-UCRT: bayesPO_0.3.1.zip, r-release: not available, r-oldrel: bayesPO_0.2.0.zip
macOS binaries: r-release (arm64): bayesPO_0.2.0.tgz, r-release (x86_64): bayesPO_0.2.0.tgz, r-oldrel: bayesPO_0.2.0.tgz
Old sources: bayesPO archive

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