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Via discussion with @apragsdale.
An "easy" way to have s,h co-vary is to work from a discretized joint density. On the C++ side, it'd be backed by the GSL discrete sampler.
This would be a new class in the "DFE" family.
The text was updated successfully, but these errors were encountered:
The following name has been proposed: fwdpy11.DiscreteDESD for "discrete distribution of Effect Size and Dominance".
fwdpy11.DiscreteDESD
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Via discussion with @apragsdale.
An "easy" way to have s,h co-vary is to work from a discretized joint density. On the C++ side, it'd be backed by the GSL discrete sampler.
This would be a new class in the "DFE" family.
The text was updated successfully, but these errors were encountered: