There’s a common use case of wanting to force one distribution of samples to be manually correlated with another. However, there are many ways of doing this; it’s unclear what’s best. It probably makes sense to have several options eventually, but it would be good to have one or two robust recommended options.
I recently implemented this for squigglepy, but using the (somewhat) simpler Iman-Conover Method instead of copulas. Copulas are more flexible, but I imagine IMC would be much easier to implement for Squiggle.
If anyone wants to implement something similar for Squiggle, I would love to help in any way.
I recently implemented this for squigglepy, but using the (somewhat) simpler Iman-Conover Method instead of copulas. Copulas are more flexible, but I imagine IMC would be much easier to implement for Squiggle.
If anyone wants to implement something similar for Squiggle, I would love to help in any way.