powered by
robust.filter(y, m=15, trend.extraction=c("RM", "MED", "LTS", "LMS"), scale.estimation=c("QN", "SN", "MAD", "LSH"), outlier.treatment="T", shiftd=2, lbound=1, p=0.9)
Probably also detailed descriptions of each outlier treatment method.
data(series1t) robust.filter(series1t)
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