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DavAug avatar DavAug commented on June 26, 2024

After thinking about this for a while, I don't think it's necessary to implement this in chi. While occasionally it may be nice to look at pooled covariate models the current hierarchical modelling design requires that all individual parameters are exposed or only the pooled parameters are exposed and the individual parameters are referenced to this pooled parameter. Additional transformations are currently not supported and it might make the hierarchical log-likelihood even more complicated than it already is. As a workaround in the rare cases where one would like to use a pooled covariate population model, one can instantiate the regular covariate population model and fix all etas and sigma. This will lead to a unnecessary posterior contribution which is however constant and therefore does not influence the inference results.

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