# Interpreting R-hat is NA warnings and unable to implement reloo

**URL:** <https://discourse.mc-stan.org/t/interpreting-r-hat-is-na-warnings-and-unable-to-implement-reloo/15770>\
**Category:** brms\
**Created:** [June 9, 2020, 3:02am UTC](https://discourse.mc-stan.org/t/interpreting-r-hat-is-na-warnings-and-unable-to-implement-reloo/15770 "2020-06-09T03:02:39Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![Rich](https://avatars.discourse-cdn.com/v4/letter/r/35a633/32.png) [@Rich](https://discourse.mc-stan.org/u/Rich)\
**Post date:** [June 10, 2020, 8:32pm UTC](https://discourse.mc-stan.org/t/interpreting-r-hat-is-na-warnings-and-unable-to-implement-reloo/15770/3 "2020-06-10T20:32:33Z")

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Thanks for your response. It is much appreciated.

- Intercepts only works just fine.
- I’ll try the univariate models, as you suggest.
- Regarding init\_r = 0.1. Yes, I read online that if it has trouble starting, use inits = 0 or init\_r = 0.1. [Model with many (correlated) varying-slopes: Sampling not done](https://discourse.mc-stan.org/t/model-with-many-correlated-varying-slopes-sampling-not-done/6189). Although to be honest, I’m not 100% sure how this impacts things more generally. Hence, I cannot answer your question regarding initialization fails. Which cases are you referring to?

Thanks again.  
Rich

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