# 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:** 90

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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:** [November 19, 2018, 1:40pm UTC](https://discourse.julialang.org/t/what-features-will-i-miss-in-julia/3577/90 "2018-11-19T13:40:14Z")

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What about multiple imputation (fully conditional specification or any advanced method)?

> [@How to do multiple imputation on Julia?](https://discourse.julialang.org/t/how-to-do-multiple-imputation-on-julia/17713):
>
> I’ve found the package Impute.jl but it seems it’s only able to use these simple methods: drop - remove missing locf - last observation carried forward nocb - next observation carried backward interp - linear interpolation of values in vector fill - replace with a specific value or a function which returns a value given the existing vector with missing values dropped. How can I do multiple imputation when I have several variables or I want to use more complex methods, for example using: fully…

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