Changes in version 0.5.2 (2023-09-04)                  

  - bug fixed in rolling_origin
  - modifying tsfknn-package.R to comply with CRAN

                 Changes in version 0.5.1 (2023-03-09)                  

  - autoplot.knnForecast has been modified to comply with CRAN

                 Changes in version 0.5.0 (2021-04-05)                  

  - The default Multi-step ahead strategy is recursive
  - An optional transformation to the training samples has been added.
    It improves forecast accuracy for time series with a trend
  - When several k are used, only those k that are equal or lower than
    the number of training samples are admitted

                 Changes in version 0.4.0 (2020-06-04)                  

  - Using Rcpp for faster computation of nearest neighbors

                        Changes in version 0.3.1                        

  - Fix calculation of rolling origin prediction with recursive strategy

                 Changes in version 0.3.0 (2019-05-31)                  

  - Now it is possible to assess the model using rolling origin
    evaluation
  - A predict method has been added to generate new forecasts based on a
    previously built model

                 Changes in version 0.2.0 (2019-04-09)                  

  - summary and print.summary methods are added for "knnForecast"
    objects
  - String parameters are processed with match.arg
  - Fix calculation of how many KNN examples has the model in
    knn_forecasting
  - Weighted combination of the targets of nearest neighbors is
    implemented
  - A function that computes the number of training instances that would
    have a model has been added