{
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  "Type": "Package",
  "Title": "Local Influence Diagnostics for the Extreme-Value\nBirnbaum-Saunders Regression Model",
  "Version": "1.2.0",
  "Date": "2026-09-17",
  "Authors@R": "person(\"Raydonal\", \"Ospina\",\nemail = \"raydonal@de.ufpe.br\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9884-9090\"))",
  "Description": "Implements local influence diagnostics for the\nExtreme-Value Birnbaum-Saunders (EVBS) regression model: joint\nmaximum likelihood estimation, conformal normal curvature\ndiagnostics under three perturbation schemes (case-weight,\nresponse variable, and explanatory variable), randomized\nquantile residuals with simulation envelope, Monte Carlo\nsimulation utilities, and publication-quality density and\ndiagnostic plots. Version 1.1.0 adds the density, distribution\nand quantile functions, the finite upper endpoint, return\nlevels and expected shortfall, block bootstrap standard errors\nfor serially dependent series, local influence diagnostics for\nthe generalized extreme-value regression model, and a GAMLSS\nfamily allowing the tail-shape parameter to depend on\ncovariates. Version 1.2.0 adds a prospective control chart for\nendpoint identifiability. The methods are described in Ospina,\nLima, Barros, and Macedo (2026, submitted) and are applied to\nmonthly maximum wind gust data from Itajai, Brazil.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/Raydonal/evbsreg,\nhttps://raydonal.github.io/evbsreg/",
  "BugReports": "https://github.com/Raydonal/evbsreg/issues",
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  "Author": "Raydonal Ospina [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9884-9090>)",
  "Maintainer": "Raydonal Ospina <raydonal@de.ufpe.br>",
  "Repository": "https://cranhaven.r-universe.dev",
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    "cnc_diagnostics",
    "cnc_diagnostics_gev",
    "devbs",
    "dlogEVBS",
    "envelope_qq",
    "evbs_block_boot",
    "evbs_endpoint",
    "evbs_monitor",
    "evbs_return_level",
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    "generate_evbs_data",
    "generate_logevbs_data",
    "gev_scores",
    "gevreg.fit",
    "logEVBS",
    "pevbs",
    "plogEVBS",
    "plot_aggregate_contributions",
    "plot_cnc",
    "plot_evbs_alpha",
    "plot_evbs_gama",
    "plot_logevbs_alpha",
    "plot_logevbs_gama",
    "plot_normalized_eigenvalues",
    "qevbs",
    "qlogEVBS",
    "rcoxsnell",
    "revbs",
    "rqrandomized"
  ],
  "_datasets": [
    {
      "name": "itajai",
      "title": "Monthly Maximum Wind Gusts at Itajai, Brazil",
      "object": "itajai",
      "class": [
        "data.frame"
      ],
      "fields": [
        "month",
        "wind",
        "pressure"
      ],
      "rows": 124,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "cnc_diagnostics",
      "title": "Conformal Normal Curvature Local Influence Diagnostics",
      "topics": [
        "cnc_diagnostics"
      ]
    },
    {
      "page": "cnc_diagnostics_gev",
      "title": "Conformal normal curvature diagnostics for the GEV regression model",
      "topics": [
        "cnc_diagnostics_gev"
      ]
    },
    {
      "page": "devbs",
      "title": "Density of the Extreme-Value Birnbaum-Saunders distribution",
      "topics": [
        "devbs"
      ]
    },
    {
      "page": "logEVBS-dist",
      "title": "Density of the log-EVBS distribution (GAMLSS parametrization)",
      "topics": [
        "dlogEVBS",
        "plogEVBS",
        "qlogEVBS"
      ]
    },
    {
      "page": "envelope_qq",
      "title": "Normal Probability Plot with Simulation Envelope",
      "topics": [
        "envelope_qq"
      ]
    },
    {
      "page": "evbs_block_boot",
      "title": "Block bootstrap standard errors for the EVBS regression model",
      "topics": [
        "evbs_block_boot"
      ]
    },
    {
      "page": "evbs_endpoint",
      "title": "Finite upper endpoint of the EVBS distribution",
      "topics": [
        "evbs_endpoint"
      ]
    },
    {
      "page": "evbs_monitor",
      "title": "Prospective endpoint-identifiability index",
      "topics": [
        "evbs_monitor"
      ]
    },
    {
      "page": "evbs_return_level",
      "title": "Return level and expected shortfall for the EVBS regression model",
      "topics": [
        "evbs_return_level"
      ]
    },
    {
      "page": "evbsreg.fit",
      "title": "Fit the Extreme-Value Birnbaum-Saunders Regression Model",
      "topics": [
        "evbsreg.fit"
      ]
    },
    {
      "page": "evbsreg.fit.mc",
      "title": "Monte Carlo Simulation Study for the EVBS Regression Model",
      "topics": [
        "evbsreg.fit.mc"
      ]
    },
    {
      "page": "generate_evbs_data",
      "title": "Generate EVBS Density Values",
      "topics": [
        "generate_evbs_data"
      ]
    },
    {
      "page": "generate_logevbs_data",
      "title": "Generate log-EVBS Density Values",
      "topics": [
        "generate_logevbs_data"
      ]
    },
    {
      "page": "gev_scores",
      "title": "Individual score contributions for the GEV regression model",
      "topics": [
        "gev_scores"
      ]
    },
    {
      "page": "gevreg.fit",
      "title": "Maximum likelihood fit of the GEV regression model",
      "topics": [
        "gevreg.fit"
      ]
    },
    {
      "page": "itajai",
      "title": "Monthly Maximum Wind Gusts at Itajai, Brazil",
      "topics": [
        "itajai"
      ]
    },
    {
      "page": "logEVBS",
      "title": "The log-EVBS distribution for GAMLSS models",
      "topics": [
        "logEVBS"
      ]
    },
    {
      "page": "pevbs",
      "title": "Distribution function of the Extreme-Value Birnbaum-Saunders distribution",
      "topics": [
        "pevbs"
      ]
    },
    {
      "page": "plot_aggregate_contributions",
      "title": "Plot Aggregate Contributions B_j(q)",
      "topics": [
        "plot_aggregate_contributions"
      ]
    },
    {
      "page": "plot_cnc",
      "title": "Combined Conformal Normal Curvature Diagnostic Plot",
      "topics": [
        "plot_cnc"
      ]
    },
    {
      "page": "plot_evbs_alpha",
      "title": "Plot EVBS Densities for Varying alpha",
      "topics": [
        "plot_evbs_alpha"
      ]
    },
    {
      "page": "plot_evbs_gama",
      "title": "Plot EVBS Densities for Varying gamma",
      "topics": [
        "plot_evbs_gama"
      ]
    },
    {
      "page": "plot_logevbs_alpha",
      "title": "Plot log-EVBS Densities for Varying alpha",
      "topics": [
        "plot_logevbs_alpha"
      ]
    },
    {
      "page": "plot_logevbs_gama",
      "title": "Plot log-EVBS Densities for Varying gamma",
      "topics": [
        "plot_logevbs_gama"
      ]
    },
    {
      "page": "plot_normalized_eigenvalues",
      "title": "Plot Normalized Eigenvalues of the Influence Matrix",
      "topics": [
        "plot_normalized_eigenvalues"
      ]
    },
    {
      "page": "plot.evbs_monitor",
      "title": "Plot an endpoint-identifiability control chart",
      "topics": [
        "plot.evbs_monitor"
      ]
    },
    {
      "page": "print.evbsreg",
      "title": "Print Method for EVBS Regression Fits",
      "topics": [
        "print.evbsreg"
      ]
    },
    {
      "page": "qevbs",
      "title": "Quantile function of the Extreme-Value Birnbaum-Saunders distribution",
      "topics": [
        "qevbs"
      ]
    },
    {
      "page": "rcoxsnell",
      "title": "Cox-Snell Residuals for the Log-EVBS Regression Model",
      "topics": [
        "rcoxsnell"
      ]
    },
    {
      "page": "revbs",
      "title": "Random Number Generation from the EVBS Distribution",
      "topics": [
        "revbs"
      ]
    },
    {
      "page": "rqrandomized",
      "title": "Randomized Quantile Residuals for the Log-EVBS Regression Model",
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      ]
    }
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      "title": "Local influence diagnostics for the EVBS regression model",
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        "The data",
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