Package: bayesPO 0.5.1

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.

Authors:Guido Alberti Moreira [cre, aut]

bayesPO_0.5.1.tar.gz
bayesPO_0.5.1.zip(r-4.7)bayesPO_0.5.1.zip(r-4.6)bayesPO_0.5.1.zip(r-4.5)
bayesPO_0.5.1.tgz(r-4.6-x86_64)bayesPO_0.5.1.tgz(r-4.6-arm64)bayesPO_0.5.1.tgz(r-4.5-x86_64)bayesPO_0.5.1.tgz(r-4.5-arm64)
bayesPO_0.5.1.tar.gz(r-4.7-arm64)bayesPO_0.5.1.tar.gz(r-4.7-x86_64)bayesPO_0.5.1.tar.gz(r-4.6-arm64)bayesPO_0.5.1.tar.gz(r-4.6-x86_64)
bayesPO_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayesPO/json (API)

# Install 'bayesPO' in R:
install.packages('bayesPO', repos = c('https://guidoamoreira.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/guidoamoreira/bayespo/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

4.30 score 4 stars 7 scripts 226 downloads 12 exports 5 dependencies

Last updated from:76e8b9fe7f. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK186
linux-devel-x86_64OK153
source / vignettesOK199
linux-release-arm64OK141
linux-release-x86_64OK153
macos-release-arm64OK152
macos-release-x86_64OK279
macos-oldrel-arm64OK156
macos-oldrel-x86_64OK466
windows-develOK141
windows-releaseOK149
windows-oldrelOK130
wasm-releaseOK130

Exports:as.arrayas.data.frameas.matrixbayesPO_modelfit_bayesPOGammaPriorinitialNormalPriorprintpriorshowsummary

Dependencies:codalatticeRcppRcppEigenRcppProgress

bayesPO

Rendered frombayesPO.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2023-09-26
Started: 2021-10-13

Readme and manuals

Help Manual

Help pageTopics
Class for the result of the MCMC procedure.$,bayesPO_fit-method +,bayesPO_fit,bayesPO_fit-method as.array,bayesPO_fit-method as.array.bayesPO_fit as.data.frame,bayesPO_fit-method as.data.frame.bayesPO_fit as.matrix,bayesPO_fit-method as.matrix.bayesPO_fit bayesPO_fit-class c,bayesPO_fit-method names,bayesPO_fit-method names.bayesPO_fit print,bayesPO_fit-method print.bayesPO_fit show,bayesPO_fit-method summary,bayesPO_fit-method summary.bayesPO_fit [[,bayesPO_fit-method
Class for the initial values for the MCMC for the bayesPO package$,bayesPO_initial-method *,bayesPO_initial,numeric-method *,numeric,bayesPO_initial-method +,bayesPO_initial,ANY-method +,bayesPO_initial,list-method +,list,bayesPO_initial-method bayesPO_initial-class names,bayesPO_initial-method print,bayesPO_initial-method print.bayesPO_initial show,bayesPO_initial-method
Build a model to be used in the 'bayesPO' fitting functionbayesPO_model
Class that defines a model for the bayesPO package.$,bayesPO_model-method $<-,bayesPO_model-method bayesPO_model-class names,bayesPO_model-method print,bayesPO_model-method print.bayesPO_model show,bayesPO_model-method
Joint prior class for the bayesPO package parameters$,bayesPO_prior-method $<-,bayesPO_prior-method bayesPO_prior-class names,bayesPO_prior-method print,bayesPO_prior-method print.bayesPO_prior show,bayesPO_prior-method
Generic class for the beta and delta parameters.BetaDeltaPrior-class print,BetaDeltaPrior-method print.BetaDeltaPrior show,BetaDeltaPrior-method
Class for covariates importance matricesbarplot.covariates_importance boxplot.covariates_importance covariates_importance-class plot.covariates_importance print.covariates_importance
Fit presence-only data using a Bayesian Poisson Process modelfit_bayesPO fit_bayesPO,bayesPO_fit,matrix-method fit_bayesPO,bayesPO_model,matrix-method
Create a Gamma prior object for model specification.GammaPrior
Gamma prior class for the LambdaStar parameter.$,GammaPrior-method $<-,GammaPrior-method GammaPrior-class names,GammaPrior-method print,GammaPrior-method print.GammaPrior show,GammaPrior-method
Initial values constructor for bayesPO modelinginitial
Generic class for the LambdaStar parameters.LambdaStarPrior-class show,LambdaStarPrior-method
Create a Normal prior object for model specification.NormalPrior
Normal prior class for Beta and Delta parameters.$,NormalPrior-method $<-,NormalPrior-method names,NormalPrior-method NormalPrior-class print,NormalPrior-method print.NormalPrior show,NormalPrior-method
Build a joint prior for bayesPO model parametersprior