Prediction using Bayesian Hierarchical Model in rStan

[Ara_Winter]

Are you talking about predicting on new data like this:

Best way to do prediction on new data? R rstan stanfit

Hi, I am new to stan, so I’d really appreciate any help. I use R 3.4.1 with rstan (2.14.1). I have a fitted stan object in R, fitted via rstan::stan. How do I make prediction on new data? Options so far: Include new data in call to ‘stan’ function, like stan reference 2.16.0 page 160. However this requires new data to be available at training time, which is not the case for me. I do not wish to retrain the model when new-data-for-prediction comes since model training takes a while Extract p…

Or there is prediction, forecasting, and backcasting from the Stan manual here:

1.14 Prediction, Forecasting, and Backcasting | Stan User’s Guide