Package: esemifar
Type: Package
Title: Smoothing Long-Memory Time Series
Version: 1.0.1
Description: The nonparametric trend and its derivatives in equidistant time 
    series (TS) with long-memory 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.
    The smoothing methods of the package are described in Letmathe, S., Beran,
    J. and Feng, Y., (2021) <https://ideas.repec.org/p/pdn/ciepap/145.html>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: fracdiff, stats, smoots, graphics, grDevices
Depends: R (>= 2.10)
Authors@R: 
  c(person("Yuanhua", "Feng", role = "aut", 
    comment = "Paderborn University, Germany"),
    person("Jan", "Beran", role = "aut", 
    comment = "University of Konstanz, Germany"),
  person("Sebastian", "Letmathe", role = c("aut", "cre"),
    email = "sebastian.letmathe@uni-paderborn.de",
    comment = "Paderborn University, Germany"),
  person("Dominik", "Schulz", role = c("aut"), 
    comment = "Paderborn University, Germany"))
URL: https://wiwi.uni-paderborn.de/en/dep4/feng/
Acknowledgments: This work was supported by the German DFG project
        GZ-FE-1500-2-1.
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-11-06 10:10:54 UTC; Letmode
Author: Yuanhua Feng [aut] (Paderborn University, Germany),
  Jan Beran [aut] (University of Konstanz, Germany),
  Sebastian Letmathe [aut, cre] (Paderborn University, Germany),
  Dominik Schulz [aut] (Paderborn University, Germany)
Maintainer: Sebastian Letmathe <sebastian.letmathe@uni-paderborn.de>
Repository: CRAN
Date/Publication: 2021-11-06 10:20:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:00:18 UTC; windows
