Package: deseats
Type: Package
Title: Data-Driven Locally Weighted Regression for Trend and
        Seasonality in TS
Version: 1.1.3
Date: 2026-10-11
Authors@R: 
    c(person(given = "Yuanhua",
             family = "Feng",
             role = "aut",
             comment = "Paderborn University, Germany"),
      person(given = "Dominik",
             family = "Schulz",
             role = c("aut", "cre"),
             email = "dominik.schulz.r@gmail.com",
             comment = "formerly Paderborn University, Germany"))
Maintainer: Dominik Schulz <dominik.schulz.r@gmail.com>
Description: Various methods for the identification of trend and seasonal
  components in time series (TS) are provided. Among them is a data-driven locally
  weighted regression approach with automatically selected bandwidth for
  equidistant short-memory time series. The approach is a
  combination / extension of the algorithms by
  Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T.,
  and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief
  description of this new method is provided in the package documentation and in
  more detail in Schulz (2026) <doi:10.32614/RJ-2026-025>.
  Furthermore, the package allows its users to apply the base model of the
  Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>.
  Permission to include this procedure was kindly provided by the Federal
  Statistical Office of Germany.
Imports: Rcpp (>= 1.0.6), ggplot2, stats, graphics, animation, utils,
        shiny, tools, zoo, future, furrr, future.apply, progressr,
        purrr, rlang, tidyr
License: GPL-3
Encoding: UTF-8
URL: https://github.com/dschulz13/deseats
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10), methods
Suggests: badger, knitr, rmarkdown, smoots, testthat (>= 3.0.0)
LazyData: true
Collate: 'AttachMessage.R' 'RcppExports.R' 'generics.R'
        'helper_functions.R' 'subplot_functions.R'
        'accuracy_measures.R' 'class-smoothing_options.R'
        'class-decomp.R' 'class-deseats.R' 'class-s_semiarma.R'
        'class-bv41.R' 'class-hfilter.R' 'class-lmdecomp.R'
        'class-madecomp.R' 'class-llindecomp.R' 'data_documentation.R'
        'fitting_functions.R' 'runDecomposition.R' 'class-deseats_fc.R'
        'forecasting_functions.R' 'bwidth_bootstrap.R'
        'gain_function.R' 'linear_filters.R' 'ts_conversion.R'
        'hA_calc.R' 'arima_no_warn.R' 'deseats-package.R'
        'seasonplot.R'
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-10-11 08:55:44 UTC; Dominik Schulz
Author: Yuanhua Feng [aut] (Paderborn University, Germany),
  Dominik Schulz [aut, cre] (formerly Paderborn University, Germany)
Repository: CRAN
Date/Publication: 2026-10-11 13:40:46 UTC
Built: R 4.6.1; aarch64-apple-darwin23; 2026-10-11 15:39:32 UTC; unix
Archs: deseats.so.dSYM
