Description Usage Arguments Value
Time series forecasting models usually assume the existence of a degree of correlation between successive values of the series. A form of modelling such correlation is to use previous values of the series as predictors of future value(s), in a procedure known as time delay embedding. This process allows the us of standard regression tools on time series forecasting tasks.
1 | create.data(ts, embed = 10)
|
ts |
the data structure with the time series data |
embed |
the size of the embed, defaults to 10 |
a data frame with the time delay embedding of the time series
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