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intro

Fit, plot and compare several (extreme value) distributions. Can also compute (truncated) distribution quantile estimates and draw a plot with return periods on a linear scale.

See the Vignette for an introduction to the package.

installation

Install / load the package and browse through the examples:

install.packages("extremeStat")
library(extremeStat)
vignette(extremeStat)

# update to the current development version, incl. vignette:
remotes::install_github("brry/extremeStat", build_vignettes=TRUE)

trouble

If normal installation doesn't work, click on Code - Download ZIP (topright), unzip the file to some place, then

setwd("that/path")
dd <- dir("extremeStat-master/R", full=T)
dummy <- sapply(dd, source)

This creates all R functions as objects in your globalenv workspace (and overwrites existing objects of the same name!).

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Version

Install

install.packages('extremeStat')

Monthly Downloads

465

Version

1.5.9

License

GPL (>= 2)

Issues

Pull Requests

Stars

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Last Published

January 13th, 2024

Functions in extremeStat (1.5.9)

distLquantile

distribution quantiles
extremeStat-package

extremeStat: Extreme Value Statistics and Quantile Estimation
distLweights

Compute distribution weights from GOF
annMax

annual discharge maxima (streamflow)
distLextreme

Extreme value stats
plotLexBoot

Bootstrapping uncertainty intervals for return periods
plotLextreme

Plot extreme value statistics
extremeStat

Extreme value statistics on a linear scale
distLexBoot

Bootstrapping uncertainty intervals for return periods
distLfit

Fit distributions via L-moments
quantGPD

Fast GPD quantile estimate
plotLweights

Distribution rank comparison
q_gpd

GPD quantile of sample
plotLfit

Plot distributions fitted with L-moments
weightp

distribution weights
printL

print dlf objects
plotLquantile

Plot quantiles of distributions fitted with L-moments
q_weighted

Compute weighted averages of quantile estimates