Type: Package
Package: RtsEva
Title: Performs the Transformed-Stationary Extreme Values Analysis
Version: 1.0.0
Authors@R: 
    person(given = "Alois",
           family = "Tilloy",
           role = c("aut", "cre"),
           email = "alois.tilloy@ec.europa.eu",
           comment = c(ORCID = "https://orcid.org/0000-0002-5881-0642"))
Maintainer: Alois Tilloy <alois.tilloy@ec.europa.eu>
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.
License: GPL (>= 3)
URL: https://github.com/r-lib/devtools,
        https://github.com/Alowis/RtsEva
Depends: R (>= 2.10)
Imports: dplyr, evd, ggplot2, lubridate, methods, moments, POT, pracma,
        scales, texmex, tsibble, xts, grDevices, stats, rlang,
        changepoint
Suggests: knitr, ncdf4, rmarkdown, rnaturalearth, terra, testthat (>=
        3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Config/testthat/edition: 3
BugReports: https://github.com/Alowis/RtsEva/issues
NeedsCompilation: no
Packaged: 2024-06-21 12:11:13 UTC; tilloal
Author: Alois Tilloy [aut, cre] (<https://orcid.org/0000-0002-5881-0642>)
Repository: CRAN
Date/Publication: 2024-06-24 12:30:01 UTC
Built: R 4.3.3; ; 2025-04-07 02:39:21 UTC; windows
