deseats 1.1.3

• Fixed a bug in the predict method for s_semiarma() output that was experienced on machines with one machine core; it is now ensured that the number of cores used in the bootstrap procedure uses at least one core and cannot drop to zero (thanks to Henrik Bengtsson for pointing this out).
• Added two arguments ncores and progress_bar in the predict method for s_semiarma() output to control the number of cores used in the bootstrap and whether or not to show a progress bar during the bootstrap procedure.
• 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.
• Further updates to the general documentation of the package, so that it is easier to find the package’s GitHub repository, to cite the package, etc.

deseats 1.1.2

• 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.

deseats 1.1.1

• 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

deseats 1.1.0

• 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.