## Version 0.1.6

• Fixing errors on the train_model function:
• Error with the forecast output
• Error with the nnetar model
• Replacing the xts::indexClass function with xts::tclass function
• Removing the ts_backtesting function, which was replaced by the train_model function
• Removing the ts_acf and ts_pacf functions, the ts_cor will replace them
• Removing the bsts package from the package dependency

## Version 0.1.5 is now available on CRAN

• Changing the package license from GPL-3 to MIT

New functions

*train_model - a flexible framework for training, testing, evaluating, and forecasting models. This function provides the ability to run multiple models with backtesting or single training/testing partitions

• plot_model - animation the performance of the train_model output on the backtesting partitions
• plot_error - plotting the error distribution of the train_model output
• ts_cor - for acf and pacf plots with seasonal lags
• arima_diag - a diagnostic plot for identify the AR, MA and differencing components of the ARIMA model

Deprecated functions

• ts_backtesting - will be replaced by the train_model function
• ts_acf / ts_pacf functions - will be replaced by the ts_cor function

Fix errors

• ts_seasonal - aligning the box plot color
• ts_plot - setting the dash and marker mode for multiple time series

## 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

• ts_to_prophet function for converting ts objects (“ts”, “zoo” and “xts” class) to prophet object
• ccf_plot function for plotting corss correlation lags between two time series
• Fixed error in the ts_backtesting function - supprting xreg option

## Version 0.1.2 is now available on CRAN

New functions:

• ts_backtesting - a horce race of multiple forecasting models with backtesting
• 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

## Version 0.1.0 is now available on CRAN

• Function for plotting univariate and multivariate time series data
• Evaluation plot for the testing set (hold-out data)
• Interactive seasonality plot
• Functions for interactive plot for the ACF and PACF