Extreme Value Statistics and Quantile Estimation

Fit, plot and compare several (extreme value) distribution functions. Compute (truncated) distribution quantile estimates and plot return periods on a linear scale. On the fitting method, see Asquith (2011): Distributional Analysis with L-moment Statistics [...] ISBN 1463508417.

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!).