# Mice for julia

**URL:** <https://discourse.julialang.org/t/mice-for-julia/60355>\
**Category:** Statistics\
**Tags:** question, package, data\
**Created:** [May 1, 2021, 3:31am UTC](https://discourse.julialang.org/t/mice-for-julia/60355 "2021-05-01T03:31:18Z")\
**Posts on this page:** 1\
**Showing post:** 7

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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:** [May 1, 2021, 7:53pm UTC](https://discourse.julialang.org/t/mice-for-julia/60355/7 "2021-05-01T19:53:46Z")

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I asked it a long time ago but there is nothing yet.

> [@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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