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  "Title": "ROC Curve Inference with and without Covariates",
  "Version": "1.0-9",
  "Date": "2024-05-09",
  "Authors@R": "c(\nperson(given = \"Maria Xose\", family = \"Rodriguez-Alvarez\",\nemail = \"mxrodriguez@uvigo.es\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-1329-9238\")),\nperson(given = \"Vanda\", family = \"Inacio\", email = \"Vanda.Inacio@ed.ac.uk\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-8084-1616\")))",
  "Description": "Estimates the pooled (unadjusted) Receiver Operating\nCharacteristic (ROC) curve, the covariate-adjusted ROC (AROC)\ncurve, and the covariate-specific/conditional ROC (cROC) curve\nby different methods, both Bayesian and frequentist. Also, it\nprovides functions to obtain ROC-based optimal cutpoints\nutilizing several criteria. Based on Erkanli, A. et al. (2006)\n<doi:10.1002/sim.2496>; Faraggi, D. (2003)\n<doi:10.1111/1467-9884.00350>; Gu, J. et al. (2008)\n<doi:10.1002/sim.3366>; Inacio de Carvalho, V. et al. (2013)\n<doi:10.1214/13-BA825>; Inacio de Carvalho, V., and\nRodriguez-Alvarez, M.X. (2022) <doi:10.1214/21-STS839>; Janes,\nH., and Pepe, M.S. (2009) <doi:10.1093/biomet/asp002>; Pepe,\nM.S. (1998) <http://www.jstor.org/stable/2534001?seq=1>;\nRodriguez-Alvarez, M.X. et al. (2011a)\n<doi:10.1016/j.csda.2010.07.018>; Rodriguez-Alvarez, M.X. et\nal. (2011a) <doi:10.1007/s11222-010-9184-1>. Please see\nRodriguez-Alvarez, M.X. and Inacio, V. (2021)\n<doi:10.32614/RJ-2021-066> for more details.",
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  "NeedsCompilation": "no",
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    "User": "root"
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  "Author": "Maria Xose Rodriguez-Alvarez [aut, cre]\n(<https://orcid.org/0000-0002-1329-9238>), Vanda Inacio [aut]\n(<https://orcid.org/0000-0001-8084-1616>)",
  "Maintainer": "Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>",
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  "Repository": "https://mxrodriguezuvigo.r-universe.dev",
  "Date/Publication": "2024-06-01 02:44:54 UTC",
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    "cROC.sp",
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    "densitycontrol",
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    "mcmccontrol",
    "pauccontrol",
    "plot.AROC",
    "plot.cROC",
    "plot.pooledROC",
    "pooledROC.BB",
    "pooledROC.dpm",
    "pooledROC.emp",
    "pooledROC.kernel",
    "predictive.checks",
    "print.AROC",
    "print.cROC",
    "print.pooledROC",
    "priorcontrol.bnp",
    "priorcontrol.dpm",
    "summary.AROC",
    "summary.cROC",
    "summary.pooledROC"
  ],
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        "gender",
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      "table": true,
      "tojson": true
    },
    {
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      "title": "Prostate specific antigen (PSA) biomarker study.",
      "object": "psa",
      "file": "psa.rda",
      "class": [
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      ],
      "fields": [
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        "marker1",
        "marker2",
        "status",
        "age",
        "t"
      ],
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      "table": true,
      "tojson": true
    }
  ],
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      "page": "ROCnReg-package",
      "title": "ROC Curve Inference with and without Covariates",
      "topics": [
        "ROCnReg-package",
        "ROCnReg"
      ]
    },
    {
      "page": "AROC.bnp",
      "title": "Nonparametric Bayesian inference of the covariate-adjusted ROC curve (AROC).",
      "topics": [
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      ]
    },
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      "title": "Nonparametric kernel-based estimation of the covariate-adjusted ROC curve (AROC).",
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    },
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      "page": "AROC.sp",
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      "title": "Covariate-specific ROC based threshold values.",
      "topics": [
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      ]
    },
    {
      "page": "compute.threshold.pooledROC",
      "title": "Pooled ROC based threshold values.",
      "topics": [
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      ]
    },
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      "topics": [
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    },
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      "topics": [
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      ]
    },
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      "title": "Selects an adequate set of points from a data set for obtaining predictions.",
      "topics": [
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      "title": "(Conditional) density estimates of test outcomes",
      "topics": [
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      "title": "Conditional density estimates of test outcomes in the healthy population",
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      "topics": [
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      "title": "Partial area under the covariate-adjusted/covariate-specific/pooled ROC curve",
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      "title": "Default AROC plotting",
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      "title": "Default cROC plotting",
      "topics": [
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      ]
    },
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    },
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