##
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

Package license

- 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