Description Usage Arguments Value See Also Examples
View source: R/axial_helper_functions.R
Subtract axial distributions, finding the difference (under an additive variance framework). This is most useful when one distribution subsumes another and includes a unique dispersal event that needs to be extracted. For example, the FS category is subsumed by the 1C category, which can be written 'FS + PO'. In this circumstance, subtracting FS from 1C will yield an estimate of the PO kernel (the basic intergenerational dispersal kernel)
numeric. The axial dispersal distance of the larger (subsuming) distribution (e.g. 1C).
numeric. The axial dispersal distance of the smaller (subsumed) distribution (e.g. FS).
numeric Returns an estimate of the axial dispersal distance of those dispersal elements that are unique to the larger dispersal distribution (e.g. PO).
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