Package: esemifar
Type: Package
Title: Smoothing Long-Memory Time Series
Version: 2.0.2
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., (2023) <doi:10.1080/03610926.2023.2276049>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: fracdiff, stats, utils, smoots, graphics, grDevices, Rcpp,
        future, furrr, ggplot2
Depends: R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
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"),
    comment = "formerly Paderborn University, Germany"),
  person("Dominik", "Schulz", role = c("aut", "cre"), 
    email = "dominik.schulz.r@gmail.com",
    comment = "formerly Paderborn University, Germany"))
Acknowledgments: This work was supported by the German DFG project
        GZ-FE-1500-2-1.
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-11-03 12:23:43 UTC; Dominik Schulz
Author: Yuanhua Feng [aut] (Paderborn University, Germany),
  Jan Beran [aut] (University of Konstanz, Germany),
  Sebastian Letmathe [aut] (formerly Paderborn University, Germany),
  Dominik Schulz [aut, cre] (formerly Paderborn University, Germany)
Maintainer: Dominik Schulz <dominik.schulz.r@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-03 17:40:02 UTC
Built: R 4.6.2; x86_64-w64-mingw32; 2026-11-04 00:55:35 UTC; windows
Archs: x64
