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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

0.6.0

License

GPL (>= 2)

Issues

Pull Requests

Stars

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Maintainer

Berry Boessenkool

Last Published

December 13th, 2016

Functions in extremeStat (0.6.0)

distLgofPlot

Distribution rank comparison
distLprint

print dlf objects
distLextremePlot

Plot extreme value statistics
distLexBoot

Bootstrapping uncertainty intervals for return periods
distLgof

Quality of distribution fits
distLquantile

distribution quantiles
distLplot

Plot distributions fitted with linear moments
annMax

annual discharge maxima (streamflow)
distLfit

Fit distributions via linear moments
distLextreme

Extreme value stats
extremeStat

Extreme value statistics on a linear scale
q_gpd

GPD quantile of sample