It really does not make sense to treat the parameters as random effects. You will get extreme shrinkage to the mean, with little relationship with the predictor variable. You can have random variation around the fixed-effect parameters. This is called a random-coefficient model. See the Getting Started example in the User's Guide for a simple case of this where the asymptote has an additional random effect. This approach will be much more productive.
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