DESCRIPTION

Package: EQRN
Type: Package
Title: Extreme Quantile Regression Neural Networks for Risk Forecasting
Version: 0.1.2
Authors@R: c(person(c("Olivier", "C."), "Pasche",
                    email = "olivier_pasche@alumni.epfl.ch", role = c("aut", "cre", "cph"),
                    comment = c(ORCID = "0000-0002-1202-9199"))
             )
Description: This framework enables forecasting and extrapolating measures of conditional risk
    (e.g. of extreme or unprecedented events), including quantiles and exceedance probabilities,
    using extreme value statistics and flexible neural network architectures.
    It allows for capturing complex multivariate dependencies,
    including dependencies between observations, such as sequential dependence (time-series).
    The methodology was introduced in Pasche and Engelke (2024) <doi:10.1214/24-AOAS1907>
    (also available in preprint: Pasche and Engelke (2022) <doi:10.48550/arXiv.2208.07590>).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: 
    coro (>= 1.0.2),
    doFuture,
    evd,
    foreach,
    future,
    ismev,
    magrittr,
    stats,
    torch,
    utils
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/opasche/EQRN, https://opasche.github.io/EQRN/
BugReports: https://github.com/opasche/EQRN/issues