Description Usage Arguments Value Author(s) References Examples
Matches the current history with the “closest” history for a given time series. A forecast will be based on what happened after the “closest” history was observed.
1 |
data |
Time series data |
num |
Number of forecasts produced |
step |
Step size (or lag) in past slopes used in the history structure |
Prints the (x,y) forecast values and provides a plot
Patrick Fleming
Caudle, KA, Fleming, PS, Frey, MR and Brubaker, N. "Next Generation of Flow Field Forecasting", Proceedings of the Joint Statistical Meetings of the American Statistical Association, Seattle, WA., 8 August-13 August (2015).
Frey, Michael R., and Kyle A. Caudle. "Flow field forecasting for univariate time series." Statistical Analysis and Data Mining (2013).
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