# What features will I miss in Julia?

**URL:** <https://discourse.julialang.org/t/what-features-will-i-miss-in-julia/3577>\
**Category:** New to Julia\
**Created:** [May 7, 2017, 12:47pm UTC](https://discourse.julialang.org/t/what-features-will-i-miss-in-julia/3577 "2017-05-07T12:47:58Z")\
**Posts on this page:** 1\
**Showing post:** 88

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**Author:** ![Juan](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/juan/32/7657_2.png) [@Juan](https://discourse.julialang.org/u/Juan)\
**Post date:** [August 2, 2017, 12:14pm UTC](https://discourse.julialang.org/t/what-features-will-i-miss-in-julia/3577/88 "2017-08-02T12:14:46Z")

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Are there any packages such as _brms_ or _blme_?  
They allow to use bayesian computation (Stan) through a simple formula.

blme: Maximum a posteriori estimation for linear and generalized linear mixed-effects models in a Bayesian setting.

brms: Provides an interface to fit Bayesian generalized (non-)linear multilevel models using Stan.  
A wide range of distributions and link functions are supported, allowing users to fit linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Auto-correlation structures, censored data, meta-analytic standard errors…

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