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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.

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They may not be fully stable and should be used with caution. We make no claims about them.
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