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mlim : Multiple Imputation with Automated Machine Learning

mlim is a multiple imputation software package based on automated machine learning. The difference between mlim and other imputation R packages is that mlim automatically fine-tunes the model for imputing each variable, hence, providing a more accurate imputation than other available packages. Moreover, mlim also automatically treats imbalance variables, leading to a fairer imputed values, which can improve the coefficients of the analysis. These features, to the author's knowledge, had not been implemented in any R package before.

Why using mlim?

There are a few reasons why mlim is better missing data imputation software than what has been available until now:

• mlim is more accurate than other packages, because it uses very intelligent