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I suggest that we chance mia default to the original Jaccard index in getDissimilarity / addDissimilarity (and elsewhere if necessary) and then update the OMA example accordingly. The manpage and OMA example should mention that mia default is different from vegan default and mention why.
Imo it is not a problem if the outcome is different from vegan when there is a good justification to it.
The text was updated successfully, but these errors were encountered:
vegan default for Jaccard index is with
binary=FALSE
That is different from the classical Jaccard index.
See OMA issue #681 and PR #682.
I suggest that we chance mia default to the original Jaccard index in
getDissimilarity
/addDissimilarity
(and elsewhere if necessary) and then update the OMA example accordingly. The manpage and OMA example should mention that mia default is different from vegan default and mention why.Imo it is not a problem if the outcome is different from vegan when there is a good justification to it.
The text was updated successfully, but these errors were encountered: