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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.0 by Genevieve Robin, 2 years ago

Browse source code at

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