Changes in version 2.0.1 (2024-05-07)                  

  - a bug in the predict-method was fixed that did not implement the
    constant extrapolation of the trend for trend_extrap = "constant".
  - a minor bug in the handling of the residual mean when forecasting
    was corrected.
  - the README was updated to show examples for the new forecasting
    approach.
  - the main literature in the manual was updated to the by now
    officially published paper.
  - a link to the package 'RcppArmadillo' was removed in the manual, as
    it caused a NOTE on some operating systems.

                 Changes in version 2.0.0 (2024-05-02)                  

  - predict-method added for output of 'tsmoothlm()' that allows for
    point and interval forecasts (under normality or via bootstrap)
    based on ESEMIFAR models.
  - plot functionality updated to allow for plot selection via function
    argument in addition to the interactive console selection.
  - functions added to obtain coefficients of different representations
    of ARMA and FARIMA models: infinite-order AR representation
    ('arma_to_ar()' / 'farima_to_ar()'), infinite-order MA
    representation ('arma_to_ma()' / 'farima_to_ma()'), and the infinite
    coefficient series according to a fractional differencing operator
    ('d_to_coef()').

                 Changes in version 1.0.1 (2021-11-06)                  

  - implemented a S3 method which extracts fitted values from an
    'esemifar' class object.
  - implemented a S3 method which extracts residuals from an 'esemifar'
    class object.