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This package is an adaptation of the Matalb tsEVA toolbox developed by Lorenzo Mentaschi availaible here: https://github.com/menta78/tsEva
It contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary EVA as described in Mentaschi et al. (2016). In synthesis this approach consists in (i) transforming a non-stationary time series into a stationary one to which the stationary EVA theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution.
You can install the development version of RtsEva from GitHub with:
# install.packages("devtools")
devtools::install_github("Alowis/RtsEva")This is a basic example which shows you how to solve a common problem:
library(RtsEva)
# Load a time series
timeAndSeries <- ArdecheStMartin
# go from six-hourly values to daily max
timeAndSeries <- max_daily_value(timeAndSeries)
# set a temporal window for the computation of running statistics
timeWindow <- 30*365 # 30 years
# Run the non-stationnary EVA
result <- TsEvaNs(timeAndSeries, timeWindow,
transfType = 'trendPeaks',tail = 'high')After fitting the non-stationnay EVA, the package offers functions to visualize the plots
For any questions or inquiries, please contact the package maintainer at alois.tilloy@ec.europa.eu
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.