Timetk 2.7.0

New Features

• tk_tsfeatures(): A new function that makes it easy to generate time series feature matrix using tsfeatures. The main benefit is that you can pipe time series data in tibbles with dplyr groups. The features will be produced by group. #95 #84

• plot_time_series_boxplot(): A new function that makes plotting time series boxplots simple using a .period argument for time series aggregation.

New Vignettes

• Time Series Clustering: Uses the new tk_tsfeatures() function to perform time series clustering. #95 #84
• Time Series Visualization: Updated to include plot_time_series_boxplot() and plot_time_series_regression().

Improvements

Improvements for point forecasting when the target is n-periods into the future.

• time_series_cv(), time_series_split(): New parameter point_forecast. This is useful for testing / assessing the n-th prediction in the future. When set to TRUE, will return a single point that returns on the last value in assess.

Fixes

• Updates for rlang > 0.4.11 (dev version) #98
• plot_time_series(): Smoother no longer fails when time series has 1 observation #106