NMSE function

NMSE error of prediction

NMSE error of prediction

The function calculates the NMSE error between actual and predicted values.

NMSE(actual, prediction, train.actual)

Arguments

  • actual: A vector or univariate time series containing actual values for a time series that are to be compared against its respective predictions.
  • prediction: A vector or univariate time series containing time series predictions that are to be compared against the values in actual.
  • train.actual: A vector or univariate time series that was used to train the model that produced the preditions in prediction.

Returns

A numeric value of the NMSE error of prediction.

Examples

data(SantaFe.A,SantaFe.A.cont) pred <- marimapred(SantaFe.A,n.ahead=100) NMSE(SantaFe.A.cont[,1], pred, SantaFe.A[,1])

References

Z. Chen and Y. Yang, 2004, Assessing forecast accuracy measures, Preprint Series, n. 2004-2010, p. 2004-10.

See Also

MSE,MAPE,sMAPE, MAXError

Author(s)

Rebecca Pontes Salles

  • Maintainer: Rebecca Pontes Salles
  • License: GPL (>= 2)
  • Last published: 2021-01-21