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After fitting my time series with an ARIMA model, I want to test outliers in the residuals' series. Are there any functions in R that could do this test and furtherly test whether the outlier is additive or innovational, seasonal or just one pulse?

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TSA package features detectIO and detectAO, but (although you haven't stated what you're trying to do, just FYI) the arimax function will only allow you to fit a model, not forecast with it.

Robert Hyndman's code in the question linked to by Stat does not identify 'types' of outliers or possible dynamic impact.

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