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RtsEva  

Performs the Transformed-Stationary Extreme Values Analysis
View on CRAN: Click here


Download and install RtsEva package within the R console
Install from CRAN:
install.packages("RtsEva")

Install from Github:
library("remotes")
install_github("cran/RtsEva")

Install by package version:
library("remotes")
install_version("RtsEva", "1.0.0")



Attach the package and use:
library("RtsEva")
Maintained by
Alois Tilloy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-24
Latest Update: 2024-06-24
Description:
Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi available here: <https://github.com/menta78/tsEva>. It contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary extreme value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>. In synthesis this approach consists in: (i) transforming a non-stationary time series into a stationary one to which the stationary extreme value theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. 'RtsEva' offers several options for trend estimation (mean, extremes, seasonal) and contains multiple plotting functions displaying different aspects of the non-stationarity of extremes.
How to cite:
Alois Tilloy (2024). RtsEva: Performs the Transformed-Stationary Extreme Values Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/RtsEva. Accessed 21 Nov. 2024.
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