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out.threshold not used #9
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This is a straightforward application of the standard algorithm for outlier detection. There may be situations where backward deletion is necessary. For more details, see Findley, D.F., Monsell, B.C., Bell, W.R., Otto, M.C., and Chen, B.C. (1998). "New capabilities and methods of the X-12-ARIMA seasonal-adjustment program." Journal of Business & Economic Statistics, 16(2), pp. 127-152. |
@timginker I see, but since you are passing |
Oh, I think I understand. It's just a matter of unsuccessful naming, I guess. Initially, I called it The method starts by checking each observation for being an outlier and adding it if necessary (forward addition step). Then we proceed to backward deletion, because after more outliers are added, some that initially were significant may not be anymore, and they are deleted starting from the least significant. I assume that if there are just a few outliers, the backward deletion makes no change to the initial list of outliers. |
I think that in this place, even though the
out.tolerance
is assigned:boiwsa/R/boiwsa.R
Line 353 in e07fc92
The
out.threshold
in the IDE looks like it is never used. Can you simply pass in thefind_outliers
out.threshold
as an argument?The text was updated successfully, but these errors were encountered: