{
  "_id": "6a116b97acfb0bcc41cf4396",
  "Package": "lax",
  "Title": "Loglikelihood Adjustment for Extreme Value Models",
  "Version": "1.2.4",
  "Date": "2025-10-21",
  "Authors@R": "c(\nperson(c(\"Paul\", \"J.\"), \"Northrop\", email = \"p.northrop@ucl.ac.uk\",\nrole = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Camellia\", \"Yin\", role = c(\"aut\", \"cph\"))\n)",
  "Description": "Performs adjusted inferences based on model objects\nfitted, using maximum likelihood estimation, by the extreme\nvalue analysis packages 'eva'\n<https://cran.r-project.org/package=eva>, 'evd'\n<https://cran.r-project.org/package=evd>, 'evir'\n<https://cran.r-project.org/package=evir>, 'extRemes'\n<https://cran.r-project.org/package=extRemes>, 'fExtremes'\n<https://cran.r-project.org/package=fExtremes>, 'ismev'\n<https://cran.r-project.org/package=ismev>, 'mev'\n<https://cran.r-project.org/package=mev>, 'POT'\n<https://cran.r-project.org/package=POT> and 'texmex'\n<https://cran.r-project.org/package=texmex>. Adjusted standard\nerrors and an adjusted loglikelihood are provided, using the\n'chandwich' package\n<https://cran.r-project.org/package=chandwich> and the\nobject-oriented features of the 'sandwich' package\n<https://cran.r-project.org/package=sandwich>. The adjustment\nis based on a robust sandwich estimator of the parameter\ncovariance matrix, based on the methodology in Chandler and\nBate (2007) <doi:10.1093/biomet/asm015>. This can be used for\ncluster correlated data when interest lies in the parameters of\nthe marginal distributions, or for performing inferences that\nare robust to certain types of model misspecification.\nUnivariate extreme value models, including regression models,\nare supported.",
  "License": "GPL (>= 2)",
  "LazyData": "TRUE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "VignetteBuilder": "knitr",
  "URL": "https://paulnorthrop.github.io/lax/,\nhttps://github.com/paulnorthrop/lax",
  "BugReports": "https://github.com/paulnorthrop/lax/issues",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://paulnorthrop.r-universe.dev",
  "Date/Publication": "2026-01-01 02:16:41 UTC",
  "RemoteUrl": "https://github.com/paulnorthrop/lax",
  "RemoteRef": "HEAD",
  "RemoteSha": "b12aa7abdcaa25790c13b982112022c612b2a500",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-23 08:52:10 UTC",
    "User": "root"
  },
  "Author": "Paul J. Northrop [aut, cre, cph],\nCamellia Yin [aut, cph]",
  "Maintainer": "Paul J. Northrop <p.northrop@ucl.ac.uk>",
  "MD5sum": "280e936f316933c7b43182e254c204db",
  "_user": "paulnorthrop",
  "_type": "src",
  "_file": "lax_1.2.4.tar.gz",
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  "_created": "2026-05-23T08:52:10.000Z",
  "_published": "2026-05-23T08:55:51.758Z",
  "_distro": "noble",
  "_jobs": [
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      "time": 188,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
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    "id": "b12aa7abdcaa25790c13b982112022c612b2a500",
    "author": "Paul Northrop <p.northrop@ucl.ac.uk>",
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      "package": "chandwich",
      "role": "Imports"
    },
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    },
    {
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      "role": "Suggests"
    },
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      "role": "Suggests"
    },
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      "role": "Suggests"
    },
    {
      "package": "evir",
      "role": "Suggests"
    },
    {
      "package": "extRemes",
      "role": "Suggests"
    },
    {
      "package": "fExtremes",
      "role": "Suggests"
    },
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      "role": "Suggests"
    },
    {
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      "role": "Suggests"
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      "package": "mev",
      "role": "Suggests"
    },
    {
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      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
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      "package": "texmex",
      "role": "Suggests"
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  "_selfowned": true,
  "_usedby": 0,
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      "name": "v.1.2.4",
      "date": "2025-10-21"
    }
  ],
  "_topics": [
    "clustered-data",
    "clusters",
    "composite-likelihood",
    "evd",
    "extreme-value-analysis",
    "extreme-value-statistics",
    "extremes",
    "independence-loglikelihood",
    "loglikelihood-adjustment",
    "mle",
    "pot",
    "regression",
    "regression-modelling",
    "robust",
    "sandwich",
    "sandwich-estimator"
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    "extra/readme.md",
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    "gev_refit",
    "gpd_refit",
    "logLikVec",
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    "pp_refit",
    "return_level",
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    {
      "name": "ow",
      "title": "Oxford and Worthing annual maximum temperatures",
      "object": "ow",
      "class": [
        "data.frame"
      ],
      "fields": [
        "temp",
        "year",
        "name",
        "loc"
      ],
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      "table": true,
      "tojson": true
    }
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  "_help": [
    {
      "page": "lax-package",
      "title": "lax: Loglikelihood Adjustment for Extreme Value Models",
      "topics": [
        "lax-package",
        "lax"
      ]
    },
    {
      "page": "alogLik",
      "title": "Loglikelihood adjustment for model fits.",
      "topics": [
        "alogLik"
      ]
    },
    {
      "page": "anova.lax",
      "title": "Comparison of nested models",
      "topics": [
        "anova.lax"
      ]
    },
    {
      "page": "bernoulli",
      "title": "Inference for the Bernoulli distribution",
      "topics": [
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        "bernoulli",
        "coef.bernoulli",
        "fit_bernoulli",
        "logLik.bernoulli",
        "logLikVec.bernoulli",
        "nobs.bernoulli",
        "vcov.bernoulli"
      ]
    },
    {
      "page": "eva",
      "title": "Loglikelihood adjustment for eva fits",
      "topics": [
        "alogLik.gevrFit",
        "alogLik.gpdFit",
        "eva"
      ]
    },
    {
      "page": "evd",
      "title": "Loglikelihood adjustment for evd fits",
      "topics": [
        "alogLik.evd",
        "evd"
      ]
    },
    {
      "page": "evir",
      "title": "Loglikelihood adjustment for evir fits",
      "topics": [
        "alogLik.gev",
        "alogLik.gpd",
        "alogLik.potd",
        "evir"
      ]
    },
    {
      "page": "extRemes",
      "title": "Loglikelihood adjustment for extRemes fits",
      "topics": [
        "alogLik.fevd",
        "extRemes"
      ]
    },
    {
      "page": "fExtremes",
      "title": "Loglikelihood adjustment for fExtremes fits",
      "topics": [
        "alogLik.fGEVFIT",
        "alogLik.fGPDFIT",
        "fExtremes"
      ]
    },
    {
      "page": "ismev",
      "title": "Loglikelihood adjustment for ismev fits",
      "topics": [
        "alogLik.gev.fit",
        "alogLik.gpd.fit",
        "alogLik.pp.fit",
        "alogLik.rlarg.fit",
        "ismev"
      ]
    },
    {
      "page": "ismev_refits",
      "title": "Maximum-likelihood (Re-)Fitting using the ismev package",
      "topics": [
        "gev_refit",
        "gpd_refit",
        "ismev_refits",
        "pp_refit",
        "rlarg_refit"
      ]
    },
    {
      "page": "logLik.logLikVec",
      "title": "Sum loglikelihood contributions from individual observations",
      "topics": [
        "logLik.logLikVec"
      ]
    },
    {
      "page": "logLikVec",
      "title": "Evaluate loglikelihood contributions from specific observations",
      "topics": [
        "logLikVec"
      ]
    },
    {
      "page": "mev",
      "title": "Loglikelihood adjustment for mev fits",
      "topics": [
        "alogLik.mev_egp",
        "alogLik.mev_gev",
        "alogLik.mev_gpd",
        "alogLik.mev_pp",
        "alogLik.mev_rlarg",
        "mev"
      ]
    },
    {
      "page": "ow",
      "title": "Oxford and Worthing annual maximum temperatures",
      "topics": [
        "ow"
      ]
    },
    {
      "page": "plot.retlev",
      "title": "Plot diagnostics for a retlev object",
      "topics": [
        "plot.retlev"
      ]
    },
    {
      "page": "POT",
      "title": "Loglikelihood adjustment for POT fits",
      "topics": [
        "alogLik.uvpot",
        "POT"
      ]
    },
    {
      "page": "pot_refit",
      "title": "Fits a Poisson point process to the data, an approach sometimes known as peaks over thresholds (POT), and returns an object of class \"potd\".",
      "topics": [
        "pot_refit"
      ]
    },
    {
      "page": "print.retlev",
      "title": "Print method for retlev object",
      "topics": [
        "print.retlev"
      ]
    },
    {
      "page": "print.summary.retlev",
      "title": "Print method for objects of class '\"summary.retlev\"'",
      "topics": [
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      "title": "Return Level Inferences for Stationary Extreme Value Models",
      "topics": [
        "return_level"
      ]
    },
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      "page": "summary.retlev",
      "title": "Summary method for a '\"retlev\"' object",
      "topics": [
        "summary.retlev"
      ]
    },
    {
      "page": "texmex",
      "title": "Loglikelihood adjustment of texmex fits",
      "topics": [
        "alogLik.evmOpt",
        "texmex"
      ]
    }
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      "author": "Paul Northrop",
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        "Confidence intervals",
        "Confidence regions",
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