sMAPE.ts: sMAPE
In tspredit: Time Series Prediction with Integrated Tuning
sMAPE.ts R Documentation
sMAPE
Description
Compute symmetric mean absolute percent error (sMAPE).
Usage
sMAPE.ts(actual, prediction)
Arguments
actual
Numeric vector of observed values.
prediction
Numeric vector of predicted values.
Details
sMAPE = mean( |a - p| / ((|a| + |p|)/2) ), excluding zero denominators.
Value
Numeric scalar with the sMAPE.
References
S. Makridakis and M. Hibon (2000). The M3-Competition: results,
conclusions and implications. International Journal of Forecasting, 16(4).
tspredit documentation built on Feb. 11, 2026, 9:08 a.m.
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| sMAPE.ts | R Documentation |
sMAPE
Description
Compute symmetric mean absolute percent error (sMAPE).
Usage
sMAPE.ts(actual, prediction)
Arguments
actual |
Numeric vector of observed values. |
prediction |
Numeric vector of predicted values. |
Details
sMAPE = mean( |a - p| / ((|a| + |p|)/2) ), excluding zero denominators.
Value
Numeric scalar with the sMAPE.
References
S. Makridakis and M. Hibon (2000). The M3-Competition: results, conclusions and implications. International Journal of Forecasting, 16(4).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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