Package: esemifar Type: Package Title: Smoothing Long-Memory Time Series Version: 1.0.2 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., (2021) . 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: 7.2.3 NeedsCompilation: no Packaged: 2023-10-22 07:44:32 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 Repository: CRAN Date/Publication: 2023-10-22 08:00:02 UTC