Testing for bimodality is rather testing for unimodality. Hartigan and Hartigan
(1985) presented the Dip-Test which is implemented in the R package DipTest
with a much better approximation of the test distribution. If the test
statistic is too high unimodality is rejected. To estimate the dip po
Hi
I have distributions that are typically bimodal (see attached .pdf), and I
would like to test for bimodality, and then estimate the point between the two
modes, the dip in the distributions. any help would be greatly appreciated.
thanks
felix
m66.junction.aln.pairwise.histogram.pdf
Descript
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