Version 0.1.4 is now available on CRAN

New functions * forecast_sim - creating different forecast paths for forecast objects (when applicable), by utilizing the underline model distribution with the simulate function * ts_grid - tuning time series models with grid search approach using backtesting method. Currently, support only the Holt-Winters model * plot_grid - plotting the output of the ts_grid function

Fix errors * ts_plot, test_forecast - avoid default setting of the plot_ly function, and set explicitly the plot setting (e.g., color, line mode, etc.). This allows using the function with the plotly subplot function * ts_seasonal - define the order of the frequency units of the box plot option plot_forecast - fixing a gap between the forecast values and the time (x-axis) values

Version 0.1.3 is now available on CRAN

Version 0.1.2 is now available on CRAN

New functions: * ts_backtesting - a horce race of multiple forecasting models with backtestin * ts_quantile - time series quantile plot for time series data * ts_seasonal - supports multiple inputs and new color palattes

Version 0.1.1 is now available on CRAN

What’s new: * New options for the seasonality plot * Heatmap and surface plots * Polar plot * Converting function from xts and zoo to ts class * Spliting function for ts object for training and testing partitions

Updates for the development version (0.1.0.9000) on Github

Version 0.1.0 is now available on CRAN