Main Effects and Interactions in Mixed and Incomplete Data

Generalized low-rank models for mixed and incomplete data frames. The main function may be used for dimensionality reduction of imputation of numeric, binary and count data (simultaneously). Main effects such as column means, group effects, or effects of row-column side information (e.g. user/item attributes in recommendation system) may also be modelled in addition to the low-rank model. Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines, Robert Tibshirani (2018) .


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install.packages("mimi")

0.2.0 by Genevieve Robin, 4 months ago


Browse source code at https://github.com/cran/mimi


Authors: Geneviève Robin


Documentation:   PDF Manual  


Task views: Missing Data


GPL-3 license


Imports glmnet, softImpute, stats, FactoMineR, parallel, doParallel, foreach, data.table, rARPACK

Suggests knitr, rmarkdown


See at CRAN