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TSPred (version 5.1.1)

MAXError: Maximal error of prediction

Description

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

Usage

MAXError(actual, prediction)

Value

A numeric value of the maximal error of prediction.

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.

Author

Rebecca Pontes Salles

See Also

sMAPE, MAPE

Examples

Run this code

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

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