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FarrellDay / miceRanger

miceRanger: Fast Imputation with Random Forests in R
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what is the connexions and differences between mice，miceRanger and missRanger? #14

Closed A-Pai closed 2 years ago

A-Pai commented 2 years ago

what is the connexions and differences between mice，miceRanger and missRanger?

samFarrellDay commented 2 years ago

mice is a more comprehensive library that allows for many different imputation models like linear, knn, etc. Both miceRanger and missRanger both perform imputation using the ranger package, specifically, because it is very fast, lightweight, and accurate. It ends up being orders of magnitude faster than the random forest implementation used by mice.

I am not that familiar with the codebase of missRanger - however I do know that miceRanger has the following features, which missRanger does not: 1) diagnostic plotting 2) Impute new data using existing models. 3) Customizable variable schema

The naming of this package was unfortunate. I didn't know missRanger existed before I chose the name.