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: 2024-02-01 09:01:40 UTC; anthorg
Author: Guido Alberti Moreira [cre, aut]
    (<https://orcid.org/0000-0001-7557-0874>)
Repository: CRAN
Date/Publication: 2024-02-01 09:40:13 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 12:29:41 UTC; unix
Archs: bayesPO.so.dSYM
