Package: smoots
Type: Package
Title: Nonparametric Estimation of the Trend and Its Derivatives in TS
Version: 1.1.4
Description: The nonparametric trend and its derivatives in equidistant
        time series (TS) with short-memory stationary errors can be
        estimated. The estimation is conducted via local polynomial
        regression using an automatically selected bandwidth obtained
        by a built-in iterative plug-in algorithm or a bandwidth fixed
        by the user. A Nadaraya-Watson kernel smoother is also built-in
        as a comparison. With version 1.1.0, a linearity test for the
        trend function, forecasting methods and backtesting approaches
        are implemented as well. The smoothing methods of the package
        are described in Feng, Y., Gries, T., and Fritz, M. (2020)
        <doi:10.1080/10485252.2020.1759598>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: stats, utils, graphics, grDevices, Rcpp (>= 1.0.7), future (>=
        1.22.1), future.apply (>= 1.8.1), progressr (>= 0.8.0),
        progress (>= 1.2.2)
Suggests: knitr, rmarkdown, fGarch, RcppArmadillo (>= 0.10.6.0.0),
        testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10)
Authors@R: 
    c(person(given = "Yuanhua",
             family = "Feng",
             role = "aut",
             comment = "Paderborn University, Germany"),
      person(given = "Sebastian",
             family = "Letmathe",
             role = "aut",
             comment = "Paderborn University, Germany"),
      person(given = "Dominik",
             family = "Schulz",
             role = c("aut", "cre"),
             email = "schulzd@mail.uni-paderborn.de",
             comment = "Paderborn University, Germany"),
      person(given = "Thomas",
             family = "Gries",
             role = "ctb",
             comment = "Paderborn University, Germany"),
      person(given = "Marlon",
             family = "Fritz",
             role = "ctb",
             comment = "Paderborn University, Germany"))
URL: https://wiwi.uni-paderborn.de/en/dep4/feng/
        https://wiwi.uni-paderborn.de/dep4/gries/
Acknowledgments: This work was supported by the German DFG project
        GZ-FE-1500-2-1.
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-06-24 09:56:20 UTC; root
Author: Yuanhua Feng [aut] (Paderborn University, Germany), Sebastian
        Letmathe [aut] (Paderborn University, Germany), Dominik Schulz
        [aut, cre] (Paderborn University, Germany), Thomas Gries [ctb]
        (Paderborn University, Germany), Marlon Fritz [ctb] (Paderborn
        University, Germany)
Maintainer: Dominik Schulz <schulzd@mail.uni-paderborn.de>
Repository: https://dschulz13.r-universe.dev
Date/Publication: 2023-09-11 11:31:13 UTC
RemoteUrl: https://github.com/cran/smoots
RemoteRef: HEAD
RemoteSha: 50d91eb61de60e3090e3840f5af224ae5d16f8e5