Package: bayesPO 0.5.0
Guido Alberti Moreira
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:
bayesPO_0.5.0.tar.gz
bayesPO_0.5.0.tar.gz(r-4.5-noble)bayesPO_0.5.0.tar.gz(r-4.4-noble)
bayesPO_0.5.0.tgz(r-4.4-emscripten)bayesPO_0.5.0.tgz(r-4.3-emscripten)
bayesPO.pdf |bayesPO.html✨
bayesPO/json (API)
| # Install 'bayesPO' in R: |
| install.packages('bayesPO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:891e79f97b. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 28 2024 |
| R-4.5-linux-x86_64 | OK | Dec 28 2024 |
Exports:as.arrayas.data.frameas.matrixbayesPO_modelfit_bayesPOGammaPriorinitialNormalPriorprintpriorshowsummary
Dependencies:codalatticeRcppRcppEigenRcppProgress
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 function | bayesPO_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 matrices | barplot.covariates_importance boxplot.covariates_importance covariates_importance-class plot.covariates_importance print.covariates_importance |
| Fit presence-only data using a Bayesian Poisson Process model | fit_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 modeling | initial |
| 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 parameters | prior |
