Package: pompp 0.1.3
pompp: Presence-Only for Marked Point Process
Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>, this methodology expands the idea by including Marks in the point process. Using efficient 'C++' code, the estimation is possible and made faster with 'OpenMP' <https://www.openmp.org/> enabled computers. This package was developed under the project PTDC/MAT-STA/28243/2017, supported by Portuguese funds through the Portuguese Foundation for Science and Technology (FCT).
Authors:
pompp_0.1.3.tar.gz
pompp_0.1.3.zip(r-4.5)pompp_0.1.3.zip(r-4.4)pompp_0.1.3.zip(r-4.3)
pompp_0.1.3.tar.gz(r-4.5-noble)pompp_0.1.3.tar.gz(r-4.4-noble)
pompp_0.1.3.tgz(r-4.4-emscripten)pompp_0.1.3.tgz(r-4.3-emscripten)
pompp.pdf |pompp.html✨
pompp/json (API)
| # Install 'pompp' in R: |
| install.packages('pompp', repos = c('https://guidoamoreira.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/guidoamoreira/pompp/issues
Last updated 1 years agofrom:07d6354c46. Checks:OK: 1 WARNING: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win-x86_64 | WARNING | Nov 05 2024 |
| R-4.5-linux-x86_64 | WARNING | Nov 05 2024 |
| R-4.4-win-x86_64 | WARNING | Nov 05 2024 |
| R-4.3-win-x86_64 | WARNING | Nov 05 2024 |
Exports:as.arrayas.data.frameas.matrixfit_pomppGammaPriorinitialNormalPriorpompp_modelprintpriorshowsummary
Dependencies:codageoRlatticeMASSRcppRcppEigenRcppProgressspsplancs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 the Presence-Only for Marked Point Process model | checkFormatBackground fit_pompp fit_pompp,pompp_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 pompp 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 |
| Class for the result of the MCMC procedure. | $,pompp_fit-method +,pompp_fit,pompp_fit-method as.array,pompp_fit-method as.array.pompp_fit as.data.frame,pompp_fit-method as.data.frame.pompp_fit as.matrix,pompp_fit-method as.matrix.pompp_fit c,pompp_fit-method names,pompp_fit-method names.pompp_fit pompp_fit-class print,pompp_fit-method print.pompp_fit show,pompp_fit-method summary,pompp_fit-method summary.pompp_fit [[,pompp_fit,ANY,ANY-method |
| Class for the initial values for the MCMC for the pompp package | $,pompp_initial-method *,numeric,pompp_initial-method *,pompp_initial,numeric-method +,list,pompp_initial-method +,pompp_initial,ANY-method +,pompp_initial,list-method names,pompp_initial-method pompp_initial-class print,pompp_initial-method print.pompp_initial show,pompp_initial-method |
| Build a model to be used in the 'pompp' fitting function | pompp_model |
| Class that defines a model for the pompp package. | $,pompp_model-method $<-,pompp_model-method names,pompp_model-method pompp_model-class print,pompp_model-method print.pompp_model show,pompp_model-method |
| Joint prior class for the pompp package parameters | $,pompp_prior-method $<-,pompp_prior-method names,pompp_prior-method pompp_prior-class print,pompp_prior-method print.pompp_prior show,pompp_prior-method |
| Build a joint prior for pompp model parameters | prior |
