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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:
berryFunctions::instGit("brry/extremeStat")

trouble

If direct installation from CRAN doesn't work, your R version might be too old. In that case, an update is really recommendable: r-project.org. If you can't update R, try installing from source (github) via instGit or devtools as mentioned above. If that's not possible either, here's a manual workaround: click on Clone or Download - Download ZIP (topright, link), 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

310

Version

1.3.0

License

GPL (>= 2)

Issues

Pull Requests

Stars

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Maintainer

Berry Boessenkool

Last Published

January 27th, 2017

Functions in extremeStat (1.3.0)

extremeStat-deprecated

Deprecated Functions
distLweights

Compute distribution weights from GOF
plotLexBoot

Bootstrapping uncertainty intervals for return periods
distLextreme

Extreme value stats
annMax

annual discharge maxima (streamflow)
plotLextreme

Plot extreme value statistics
distLfit

Fit distributions via L-moments
distLexBoot

Bootstrapping uncertainty intervals for return periods
extremeStat

Extreme value statistics on a linear scale
distLquantile

distribution quantiles
plotLfit

Plot distributions fitted with L-moments
weightp

distribution weights
plotLquantile

Plot quantiles of distributions fitted with L-moments
q_gpd

GPD quantile of sample
printL

print dlf objects
plotLweights

Distribution rank comparison
q_weighted

Compute weighted averages of quantile estimates