Package: bayesPO
Type: Package
Title: Bayesian Inference for Presence-Only Data
Version: 0.5.0
Date: 2024-02-01
Authors@R: person("Guido", "Alberti Moreira", email = "guidoalber@gmail.com",
    role = c("cre","aut"), comment=c(ORCID="0000-0001-7557-0874"))
Contact: Guido Alberti Moreira <guidoalber@gmail.com>
Maintainer: Guido Alberti Moreira <guidoalber@gmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppEigen, RcppProgress
Imports: Rcpp, coda, parallel, methods, RcppProgress, graphics, stats,
        tools
Suggests: bayesplot, knitr, rmarkdown, webshot, ggplot2, MASS
Collate: 'RcppExports.R' 'bayesPO-package.R' 'prior-class.R'
        'initial-class.R' 'model-class.R' 'fit-class.R' 'bayesPO.R'
        'covariate_importance-class.R'
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-04 09:31:27 UTC; root
Author: Guido Alberti Moreira [cre, aut]
        (<https://orcid.org/0000-0001-7557-0874>)
Repository: https://cran.r-universe.dev
Date/Publication: 2024-02-02 02:30:33 UTC
RemoteUrl: https://github.com/cran/bayesPO
RemoteRef: HEAD
RemoteSha: 891e79f97b3637db159b399f54722998484b9b2a