Changes in version 1.1.3                        

  - Change in maintainer email address from
    dominik.schulz@uni-paderborn.de to dominik.schulz.r@gmail.com; the
    maintainer is, however, still the same person.

                 Changes in version 1.1.2 (2026-03-16)                  

  - create.gain() and runDecomposition() are now deprecated and replaced
    by create_gain() and run_decomposition().
  - select_bwidth(), deseats() and s_semiarma() now have an argument
    inf_criterion that lets the user switch between "bic" (the default)
    and "aic"; this selects the information criterion (BIC or AIC) to
    use for the ARMA order selection wherever relevant within those
    functions.
  - select_bwidth(), deseats() and s_semiarma() now warn the user, when
    an extremely small number of observations is being used, which makes
    the bandwidth selection highly unreliable.
  - some internal functions have been made more robust, so that they do
    not throw an error under small numbers of observations; instead they
    warn the user (see previous point) and fall back to certain minimum
    / maximum settings that still work (but are unreliable).
  - some defaults in set_option() have been adjusted, namely order_poly
    = 3 instead of order_poly = 1 as well as boundary_method = "shorten"
    instead of boundary_method = "extend".
  - a vignette was added to the package that introduces readers to the
    basic applications of the package with an example.
  - the animate() method for output of deseats() now also shows proper
    results for the case with boundary_method = "shorten" in
    set_options().
  - the predict() method for S-Semi-ARMA models now allows for bias
    adjustment of point forecasts via bias.adjust = TRUE, if expo =
    TRUE.

                 Changes in version 1.1.1 (2025-06-23)                  

  - fixed a bug in the forecasting of seasonal semiparametric ARMA
    models, where for the special case of an ARMA for the rest including
    a mean estimate the forecasting intervals under the normality
    assumption where too large by exactly that mean estimate
  - fixed an issue, probably due to some updates in ggplot2, where in
    autoplotfor forecasting objects the legend for multiple forecasting
    intervals was not displayed correctly anymore

                 Changes in version 1.1.0 (2024-07-12)                  

  - the argument correction_factor in the functions deseats, s_semiarma
    and select_bwidth is now set to FALSE by default.
  - further arguments were added to deseats, s_semiarma and
    select_bwidth to allow for a fine-adjustments of the algorithm, when
    an ARMA model is assumed as the error process.
  - the functions seasonplot and seasonplot_gg were added to allow for
    the creation of seasonal plots.
  - the faulty link in the manual to the RcppArmadillo package was
    removed.
  - the example in the documentation of ts_conversion was adjusted to
    use file.path for the path to the temporary data file.