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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "esemifar" in publications use:'
type: software
license: GPL-3.0-only
title: 'esemifar: Smoothing Long-Memory Time Series'
version: 2.0.1
doi: 10.32614/CRAN.package.esemifar
abstract: 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) <https://doi.org/10.1080/03610926.2023.2276049>.
authors:
- family-names: Feng
  given-names: Yuanhua
- family-names: Beran
  given-names: Jan
- family-names: Letmathe
  given-names: Sebastian
- family-names: Schulz
  given-names: Dominik
  email: dominik.schulz@uni-paderborn.de
repository: https://CRAN.R-project.org/package=esemifar
url: https://wiwi.uni-paderborn.de/en/dep4/feng/
date-released: '2024-05-07'
contact:
- family-names: Schulz
  given-names: Dominik
  email: dominik.schulz@uni-paderborn.de