Out-of-sample predictions for mixed model are the same as naive model (ignoring the random effects)

[dilsherdhillon]

Based on this response, it seems like a random effect model should be able to predict for a new subject coming from the same population.

Stan_glmer() + posterior_predict() question

I am having trouble understanding the documentation for rstanarm’s posterior prediction function. The newdata argument may include new levels of the grouping factors that were specified when the model was estimated, in which case the resulting posterior predictions marginalize over the relevant variables. So if I have model like library(rstanarm) data <- nlme::Machines m <- stan_glmer( score ~ Machine + (1 | Worker), data, family = gaussian, prior = normal(0, 1)) And generate pr…