Please also provide the following information in addition to your question:
- Operating System: Windows 2016 Server
- rstanarm Version: 2.18.2
I have estimated a stan_lm object.
There are 1.1 M observations and 41 predictors.
The sample is 16000 (posterior sample size).
I had to increase iter to get n_eff > 1000 for log-posterior.
It was run on 4 chains.
In the RStudio environment, the stan_lm object is shown with size 1.5 Gb
I attempted to use shinystan.
Hang on… preparing graphical posterior predictive checks for rstanarm model.
See help(‘shinystan’, ‘rstanarm’) for how to disable this feature.
Error: cannot allocate vector of size 130.9 Gb
Is this expected behavior to require this vector size to launch shinystan?