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Estimation of main effects and interactions in mixed data sets with missing values. Numeric, binary and count variables are supported. Main effects and interactions are modelled using an exponential family parametric model. Particular examples include the loglinear model for count data and the linear model for numeric data. Estimation is done through a convex program where main effects are assumed sparse and the interactions lowrank. Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines, Robert Tibshirani (2018) <arXiv:1806.09734>.
Package details 


Author  Geneviève Robin 
Maintainer  Genevieve Robin <[email protected]> 
License  GPL3 
Version  0.1.0 
Package repository  View on CRAN 
Installation 
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