There is nothing wrong with combining forecasts from different distributions, but it is more challenging to implement. We do plan to eventually support a wide range of distributional combinations. It is always possible to do it by simulating from each model and combining the samples to get an empirical mixture distribution. However, even that must be done carefully because the errors that drive each model will be correlated, so independent simulations will not give the right distribution.