Type: Package
Package: RtsEva
Title: Performs the Transformed-Stationary Extreme Values Analysis
Version: 1.2.0
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, rlang, changepoint
Suggests: knitr, ncdf4, rmarkdown, rnaturalearth, terra, testthat (>=
        3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
ByteCompile: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Config/testthat/edition: 3
BugReports: https://github.com/Alowis/RtsEva/issues
Repository: https://alowis.r-universe.dev
Date/Publication: 2026-09-25 10:29:27 UTC
RemoteUrl: https://github.com/alowis/rtseva
RemoteRef: HEAD
RemoteSha: b761930150600e3b3f203c5584e0594e1fcf23fc
NeedsCompilation: no
Packaged: 2026-09-25 14:13:12 UTC; root
Author: Alois Tilloy [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5881-0642>)