Different distribution families for different channels / controls

Hi Chad,

maybe I can help. I believe it works the same way as with other priors. For instance:

import numpy as np
   
model_config["gamma_control"] = {
    "dist": "TruncatedNormal",
    "kwargs": {
        "mu": 0.5,        # same mu etc. for all controls
        "lower": 0,
        "upper": np.inf,
        "sigma": [1,2]    # [discounts, holidays]
    }
}

Hope I dont have a typo, I cannot test it right now.

Best Regards
Jonas