Hi all, thanks again for a very nice and useful package. The adherence to ropensci policies make this such a nice goalpost for Bayesian modelling package development, so kudos! I just have a question, which is not really an issue I think: in my work we frequently make multiple observations of some unknown latent process. A simple example we are interested in is measurements of vegetation greenness in the landscape using multiple satellite sensors. We expect each sensor to have its own observation error, so we'd like to use those measurements to make inference about the latent factor. But we'd then also like to use the latent factor (i.e. the 'true' vegetation greenness) as a lagged predictor of other processes we are interested in, such as abundances of certain species. Do you foresee this being an option in dynamite, or perhaps is this already available? I hope I've made that clear, but please let me know if you seek any further clarity.
All the best,
Nick