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climextRemes
View on CRAN: Click
here
Download and install climextRemes package within the R console
Install from CRAN:
install.packages("climextRemes")
Install from Github:
library("remotes")
install_github("cran/climextRemes") Install by package version:
library("remotes")
install_version("climextRemes", "0.3.1") Attach the package and use:
library("climextRemes")
Maintained by
Christopher Paciorek
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-10
Latest Update: 2023-12-21
Description:
Functions for fitting GEV and POT (via point process fitting)
models for extremes in climate data, providing return values, return
probabilities, and return periods for stationary and nonstationary models.
Also provides differences in return values and differences in log return
probabilities for contrasts of covariate values. Functions for estimating risk
ratios for event attribution analyses, including uncertainty. Under the hood,
many of the functions use functions from 'extRemes', including for fitting the
statistical models. Details are given in Paciorek, Stone, and Wehner (2018)
.
How to cite:
Christopher Paciorek (2016). climextRemes: Tools for Analyzing Climate Extremes. R package version 0.3.1, https://cran.r-project.org/web/packages/climextRemes. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Other R packages that climextRemes depends,
imports, suggests or enhances
Complete documentation for climextRemes
Functions, R codes and Examples using
the climextRemes R package
Some associated functions: calc_logReturnPeriod_fevd . calc_logReturnProbDiff_fevd . calc_logReturnProb_fevd . calc_returnValueDiff_fevd . calc_returnValue_fevd . calc_riskRatio_binom . calc_riskRatio_gev . calc_riskRatio_pot . climextRemes-package . fit_gev . fit_pot . normalize . remove_runs . screen_within_block .
Some associated R codes: auxil.R . climextRemes-package.R . gev.R . helper.R . pot.R . return_calcs.R . risk_ratio.R . Full climextRemes package functions and examples
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