Combine axial distributions to produce a mixed distribution
combines axial distributions to produce a mixed distribution. This is useful in settings where you have two separate distributions (e.g. FS & HS) with their own axial values, but you want to average them appropriately so that they can be compared to e.g. a mixed distribution of full & half cousins which cannot be distinguished via kinship determination methods and thus are best treated as an even mixture of the two categories. Different to adding dispersal events.
axials_combine(axvals)
axvals |
numeric. vector of axial distribution values from different kernels that are to be combined |
numeric Returns the axial value that results from combining the input axial values under an additive variance framework.
fullax <- axials(c(2, 4, 5), composite = 2) halfax <- axials(c(6, 5, 7), composite = 2) sibax <- axials_combine(c(fullax, halfax))
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