What is Mice.jl?

Mice.jl is the Julia equivalent of the R package mice by Stef van Buuren, Karin Groothuis-Oudshoorn and collaborators [1]. It allows you to impute missing values in a dataset using multiple imputation by chained equations (MICE).

Currently, only predictive mean matching (PMM) and Bayesian linear regression are supported as methods. Mice.jl also currently does not support hybrid imputation models.

If you want to learn more about multiple imputation, this is not the guide for you. Instead, I recommend consulting "Flexible Imputation of Missing Data" by Stef van Buuren (ed.) [2].

Funded by Wellcome