# Measurement error corrected hierarchical model in brms

**URL:** <https://discourse.mc-stan.org/t/measurement-error-corrected-hierarchical-model-in-brms/8427>\
**Category:** brms\
**Created:** [April 11, 2019, 2:56pm UTC](https://discourse.mc-stan.org/t/measurement-error-corrected-hierarchical-model-in-brms/8427 "2019-04-11T14:56:05Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![paul.buerkner](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/paul.buerkner/32/3303_2.png) [@paul.buerkner](https://discourse.mc-stan.org/u/paul.buerkner)\
**Post date:** [August 25, 2020, 7:58am UTC](https://discourse.mc-stan.org/t/measurement-error-corrected-hierarchical-model-in-brms/8427/4 "2020-08-25T07:58:11Z")

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I understand. It is badly documented. Perhaps looking at the Stan code itself can help. I don’t like the me() feature anymore to be honest. It implictely adds a measurement model without a separate formula, as does mi(). For this reason, I will soon deprecate me() in favor of using mi(), which can be used for the same purpose, as soon as I have figure out how to add grouping (argument `gr`) to mi().

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