{
  "_id": "6a2698a324555f66ed51db3d",
  "Package": "pompp",
  "Title": "Presence-Only for Marked Point Process",
  "Version": "0.1.3",
  "Date": "2022-12-12",
  "Authors@R": "person(\"Guido\", \"Alberti Moreira\", email = \"guidoalber@gmail.com\",\nrole = c(\"cre\",\"aut\"), comment=c(ORCID=\"0000-0001-7557-0874\"))",
  "Description": "Inspired by Moreira and Gamerman (2022)\n<doi:10.1214/21-AOAS1569>, this methodology expands the idea by\nincluding Marks in the point process. Using efficient 'C++'\ncode, the estimation is possible and made faster with 'OpenMP'\n<https://www.openmp.org/> enabled computers. This package was\ndeveloped under the project PTDC/MAT-STA/28243/2017, supported\nby Portuguese funds through the Portuguese Foundation for\nScience and Technology (FCT).",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.2.0",
  "Collate": "'RcppExports.R' 'covariance_importance.R' 'prior-class.R'\n'initial-class.R' 'model-class.R' 'fit-class.R'\n'pompp-package.R' 'pompp.R'",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-08 10:21:36 UTC",
    "User": "root"
  },
  "Author": "Guido Alberti Moreira [cre, aut]\n(<https://orcid.org/0000-0001-7557-0874>)",
  "Maintainer": "Guido Alberti Moreira <guidoalber@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-12-12 22:50:05 UTC",
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  "_created": "2026-06-08T10:21:36.000Z",
  "_published": "2026-06-08T10:25:39.291Z",
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    "author": "Guido Alberti Moreira <guidoalber@gmail.com>",
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    "as.data.frame",
    "as.matrix",
    "fit_pompp",
    "GammaPrior",
    "initial",
    "NormalPrior",
    "pompp_model",
    "print",
    "prior",
    "show",
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      "page": "BetaDeltaPrior-class",
      "title": "Generic class for the beta and delta parameters.",
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        "BetaDeltaPrior-class",
        "print,BetaDeltaPrior-method",
        "print.BetaDeltaPrior",
        "show,BetaDeltaPrior-method"
      ]
    },
    {
      "page": "covariates_importance-class",
      "title": "Class for covariates importance matrices",
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        "barplot.covariates_importance",
        "boxplot.covariates_importance",
        "covariates_importance-class",
        "plot.covariates_importance",
        "print.covariates_importance"
      ]
    },
    {
      "page": "fit_pompp",
      "title": "Fit presence-only data using the Presence-Only for Marked Point Process model",
      "topics": [
        "checkFormatBackground",
        "fit_pompp",
        "fit_pompp,pompp_model,matrix-method"
      ]
    },
    {
      "page": "GammaPrior",
      "title": "Create a Gamma prior object for model specification.",
      "topics": [
        "GammaPrior"
      ]
    },
    {
      "page": "GammaPrior-class",
      "title": "Gamma prior class for the LambdaStar parameter.",
      "topics": [
        "$,GammaPrior-method",
        "$<-,GammaPrior-method",
        "GammaPrior-class",
        "names,GammaPrior-method",
        "print,GammaPrior-method",
        "print.GammaPrior",
        "show,GammaPrior-method"
      ]
    },
    {
      "page": "initial",
      "title": "Initial values constructor for pompp modeling",
      "topics": [
        "initial"
      ]
    },
    {
      "page": "LambdaStarPrior-class",
      "title": "Generic class for the LambdaStar parameters.",
      "topics": [
        "LambdaStarPrior-class",
        "show,LambdaStarPrior-method"
      ]
    },
    {
      "page": "NormalPrior",
      "title": "Create a Normal prior object for model specification.",
      "topics": [
        "NormalPrior"
      ]
    },
    {
      "page": "NormalPrior-class",
      "title": "Normal prior class for Beta and Delta parameters.",
      "topics": [
        "$,NormalPrior-method",
        "$<-,NormalPrior-method",
        "names,NormalPrior-method",
        "NormalPrior-class",
        "print,NormalPrior-method",
        "print.NormalPrior",
        "show,NormalPrior-method"
      ]
    },
    {
      "page": "pompp_fit-class",
      "title": "Class for the result of the MCMC procedure.",
      "topics": [
        "$,pompp_fit-method",
        "+,pompp_fit,pompp_fit-method",
        "as.array,pompp_fit-method",
        "as.array.pompp_fit",
        "as.data.frame,pompp_fit-method",
        "as.data.frame.pompp_fit",
        "as.matrix,pompp_fit-method",
        "as.matrix.pompp_fit",
        "c,pompp_fit-method",
        "names,pompp_fit-method",
        "names.pompp_fit",
        "pompp_fit-class",
        "print,pompp_fit-method",
        "print.pompp_fit",
        "show,pompp_fit-method",
        "summary,pompp_fit-method",
        "summary.pompp_fit",
        "[[,pompp_fit,ANY,ANY-method"
      ]
    },
    {
      "page": "pompp_initial-class",
      "title": "Class for the initial values for the MCMC for the pompp package",
      "topics": [
        "$,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",
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        "print,pompp_initial-method",
        "print.pompp_initial",
        "show,pompp_initial-method"
      ]
    },
    {
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      "title": "Build a model to be used in the 'pompp' fitting function",
      "topics": [
        "pompp_model"
      ]
    },
    {
      "page": "pompp_model-class",
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        "$<-,pompp_model-method",
        "names,pompp_model-method",
        "pompp_model-class",
        "print,pompp_model-method",
        "print.pompp_model",
        "show,pompp_model-method"
      ]
    },
    {
      "page": "pompp_prior-class",
      "title": "Joint prior class for the pompp package parameters",
      "topics": [
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        "$<-,pompp_prior-method",
        "names,pompp_prior-method",
        "pompp_prior-class",
        "print,pompp_prior-method",
        "print.pompp_prior",
        "show,pompp_prior-method"
      ]
    },
    {
      "page": "prior",
      "title": "Build a joint prior for pompp model parameters",
      "topics": [
        "prior"
      ]
    }
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