ApolloChoiceModelling forum

Hello!

I wonder if we can retrieve iteration-level draws of random parameters in hierarchical Bayesian estimation. We do have individual-level posterior means, which should be calculated using these draws. I want to analyze the distribution of posterior/conditional means across a sample, say, \beta * LV_n with a fixed \beta. I can retrieve iteration-level draws of \beta using with , but LV_n is at the individual level. What should I do in this case? Thanks in advance.

Siqi

Hi Siqi

you need
in saveOutput_settings

Have a look at Stephane