Version 3.0 (20 may 2025)
  * included MSIS and ACD metrics for prediction interval evaluation
  * included unit tests for the package
  * included bagged functions
  * included bagging
  * included BoxCox transformation
  * included STL decomposition for seasonal time series
  * included option for check unit root before seasonal test
  * fixed problem with reverse depends

Version 2.6 (11 Nov 2022)
	* fixed a problem in BugReports
	* included github page
	* fixed a problem for h=1

Version 2.5 (17 Jun 2020)
	* fixed a problem in groe() function

Version 2.4 (17 Feb 2019)
	* included regressive variables

Version 2.3 (31 May 2016)
	* plot.thetaModel() improved;

Version 2.2 (25 May 2016)
   * fixed a problem in stheta() function when s=F (Thanks Oleh Komashko);
   * fixed a problem in otm() function with par_ini argument different of default;
   * fixed a problem in seasonal decomposition when part of the seasonal part is zero close;
   * included the additive seasonal decomposition option;
   * included the opt.method argument for several funcions;
   * included the statistical tests Shapiro-Wilk and Teraesvirta Neural Network for
   normality and linear 'mean' assumptions, respectively;

Version 2.1 (07 Mar 2016)
   * improved documentation;
   * fixed a problem with thetaModel class;

Version 2.0 (29 Feb 2016)
   * included the models: dotm, dstm, otm, stm, stheta, expSmoot;
   * included the class thetaModel;
   * included S3 functions: plot.thetaModel, print.thetaModel, summary.thetaModel;
   * the old otm() function was renamed to otm.arxiv();
   * the thetaM() function was replaced by stheta() for equivalence with IJF paper;

Version 1.1 (31 Jul 2015)
   * NAMESPACE updated;
   * otm() updated;

Version 1.0 (15 Apr 2015)