{
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  "Package": "climextRemes",
  "Title": "Tools for Analyzing Climate Extremes",
  "Version": "0.3.1",
  "Date": "2023-12-15",
  "Maintainer": "Christopher Paciorek <paciorek@stat.berkeley.edu>",
  "Authors@R": "c(person(\"Christopher\", \"Paciorek\", email =\n\"paciorek@stat.berkeley.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Harinarayan\", \"Krishnan\", email = \"hkrishnan@lbl.gov\",\nrole = c(\"ctb\")))",
  "Description": "Functions for fitting GEV and POT (via point process\nfitting) models for extremes in climate data, providing return\nvalues, return probabilities, and return periods for stationary\nand nonstationary models. Also provides differences in return\nvalues and differences in log return probabilities for\ncontrasts of covariate values. Functions for estimating risk\nratios for event attribution analyses, including uncertainty.\nUnder the hood, many of the functions use functions from\n'extRemes', including for fitting the statistical models.\nDetails are given in Paciorek, Stone, and Wehner (2018)\n<doi:10.1016/j.wace.2018.01.002>.",
  "License": "BSD_3_clause + file LICENSE",
  "URL": "https://bitbucket.org/lbl-cascade/climextremes-dev",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.2.3",
  "Repository": "https://paciorek.r-universe.dev",
  "Date/Publication": "2023-12-14 19:50:36 UTC",
  "RemoteUrl": "https://bitbucket.org/lbl-cascade/climextremes-dev",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 11:38:17 UTC",
    "User": "root"
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  "Author": "Christopher Paciorek [aut, cre],\nHarinarayan Krishnan [ctb]",
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    "author": "Christopher Paciorek <paciorek@stat.berkeley.edu>",
    "committer": "Christopher Paciorek <paciorek@stat.berkeley.edu>",
    "message": "final cleanup for 0.3.1 release\n",
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    "extra/citation.json",
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  "_realowner": "paciorek",
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      "date": "2016-08-10"
    },
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    },
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    "calc_logReturnProb_fevd",
    "calc_logReturnProbDiff_fevd",
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    "calc_returnValueDiff_fevd",
    "calc_riskRatio_binom",
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    "calc_riskRatio_pot",
    "fit_gev",
    "fit_pot",
    "normalize",
    "remove_runs",
    "screen_within_block"
  ],
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      "page": "calc_logReturnPeriod_fevd",
      "title": "Calculates log return period and standard error given return value(s) of interest",
      "topics": [
        "calc_logReturnPeriod_fevd"
      ]
    },
    {
      "page": "calc_logReturnProb_fevd",
      "title": "Calculates log return probability and standard error given return value(s) of interest",
      "topics": [
        "calc_logReturnProb_fevd"
      ]
    },
    {
      "page": "calc_logReturnProbDiff_fevd",
      "title": "Calculates log return probability difference for two sets of covariates and standard error of difference given return value(s) of interest",
      "topics": [
        "calc_logReturnProbDiff_fevd"
      ]
    },
    {
      "page": "calc_returnValue_fevd",
      "title": "Calculates return value and standard error given return period(s) of interest",
      "topics": [
        "calc_returnValue_fevd"
      ]
    },
    {
      "page": "calc_returnValueDiff_fevd",
      "title": "Calculates return value difference for two sets of covariates and standard error of difference given return period(s) of interest",
      "topics": [
        "calc_returnValueDiff_fevd"
      ]
    },
    {
      "page": "calc_riskRatio_binom",
      "title": "Compute risk ratio and uncertainty based on binomial models for counts of events relative to possible number of events",
      "topics": [
        "calc_riskRatio_binom"
      ]
    },
    {
      "page": "calc_riskRatio_gev",
      "title": "Compute risk ratio and uncertainty based on generalized extreme value model fit to block maxima or minima",
      "topics": [
        "calc_riskRatio_gev"
      ]
    },
    {
      "page": "calc_riskRatio_pot",
      "title": "Compute risk ratio and uncertainty based on peaks-over-threshold models fit to exceedances over a threshold",
      "topics": [
        "calc_riskRatio_pot"
      ]
    },
    {
      "page": "fit_gev",
      "title": "Fit a generalized extreme value model to block maxima or minima",
      "topics": [
        "fit_gev"
      ]
    },
    {
      "page": "fit_pot",
      "title": "Fit a peaks-over-threshold model to exceedances over a threshold",
      "topics": [
        "fit_pot"
      ]
    },
    {
      "page": "normalize",
      "title": "Normalize a vector",
      "topics": [
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      ]
    },
    {
      "page": "remove_runs",
      "title": "Remove consecutive exceedances from a vector",
      "topics": [
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      ]
    },
    {
      "page": "screen_within_block",
      "title": "Remove multiple exceedances within non-overlapping blocks of fixed length",
      "topics": [
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      ]
    }
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