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extRemes (version 2.1-4)

Extreme Value Analysis

Description

General functions for performing extreme value analysis. In particular, allows for inclusion of covariates into the parameters of the extreme-value distributions, as well as estimation through MLE, L-moments, generalized (penalized) MLE (GMLE), as well as Bayes. Inference methods include parametric normal approximation, profile-likelihood, Bayes, and bootstrapping. Some bivariate functionality and dependence checking (e.g., auto-tail dependence function plot, extremal index estimation) is also included. For a tutorial, see Gilleland and Katz (2016) and for bootstrapping, please see Gilleland (2020) .

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Version

Install

install.packages('extRemes')

Monthly Downloads

3,108

Version

2.1-4

License

GPL (>= 2)

Maintainer

Last Published

February 2nd, 2024

Functions in extRemes (2.1-4)

Potomac

Potomac River Peak Stream Flow Data.
SantaAna

Santa Ana Winds Data
fevd

Fit An Extreme Value Distribution (EVD) to Data
findAllMCMCpars

Manipulate MCMC Output from fevd Objects
datagrabber.declustered

Get Original Data from an R Object
extRemes-package

extRemes -- Weather and Climate Applications of Extreme Value Analysis (EVA)
erlevd

Effective Return Levels
decluster

Decluster Data Above a Threshold
devd

Extreme Value Distributions
extRemes internal

extRemes Internal and Secondary Functions
distill.fevd

Distill Parameter Information
extremalindex

Extemal Index
hwmid

Heat Wave Magnitude Index
hwmi

Heat Wave Magnitude Index
ftcanmax

Annual Maximum Precipitation: Fort Collins, Colorado
lr.test

Likelihood-Ratio Test
fpois

Fit Homogeneous Poisson to Data and Test Equality of Mean and Variance
make.qcov

Covariate Matrix for Non-Stationary EVD Projections
mrlplot

Mean Residual Life Plot
levd

Extreme Value Likelihood
findpars

Get EVD Parameters
is.fixedfevd

Stationary Fitted Model Check
parcov.fevd

EVD Parameter Covariance
rlevd

Return Levels for Extreme Value Distributions
pextRemes

Probabilities and Random Draws from Fitted EVDs
shiftplot

Shift Plot Between Two Sets of Data
qqnorm

Normal qq-plot with 95 Percent Simultaneous Confidence Bands
qqplot

qq-plot Between Two Vectors of Data with 95 Percent Confidence Bands
xtibber

Test-Inversion Bootstrap for Extreme-Value Analysis
return.level

Return Level Estimates
revtrans.evd

Reverse Transformation
taildep

Tail Dependence
strip

Strip Fitted EVD Object of Everything but the Parameter Estimates
taildep.test

Tail Dependence Test
xbooter

Additional Bootstrap Functions for Univariate EVA
trans

Transform Data
postmode

Posterior Mode from an MCMC Sample
threshrange.plot

Threshold Selection Through Fitting Models to a Range of Thresholds
profliker

Profile Likelihood Function
Denmint

Denver Minimum Temperature
Ozone4H

Ground-Level Ozone Order Statistics.
BayesFactor

Estimate Bayes Factor
PORTw

Annual Maximum and Minimum Temperature
CarcasonneHeat

European Climate Assessment and Dataset
blockmaxxer

Find Block Maxima
Rsum

Hurricane Frequency Dataset.
ci.fevd

Confidence Intervals
FCwx

Fort Collins, Colorado Weather Data
Fort

Daily precipitation amounts in Fort Collins, Colorado.
Tphap

Daily Maximum and Minimum Temperature in Phoenix, Arizona.
atdf

Auto-Tail Dependence Function
Denversp

Denver July hourly precipitation amount.
Flood

United States Total Economic Damage Resulting from Floods
HEAT

Summer Maximum and Minimum Temperature: Phoenix, Arizona
ci.rl.ns.fevd.bayesian

Confidence/Credible Intervals for Effective Return Levels
damage

Hurricane Damage Data
Peak

Salt River Peak Stream Flow