Main effects and interactions in mixed and incomplete data frames.

@article{Robin2018MainEA,
  title={Main effects and interactions in mixed and incomplete data frames.},
  author={Genevi{\`e}ve Robin and Olga Klopp and Julie Josse and 'Eric Moulines and Robert Tibshirani},
  journal={arXiv: Methodology},
  year={2018}
}
  • Geneviève Robin, Olga Klopp, +2 authors Robert Tibshirani
  • Published 2018
  • Mathematics
  • arXiv: Methodology
  • A mixed data frame (MDF) is a table collecting categorical, numerical and count observations. The use of MDF is widespread in statistics and the applications are numerous from abundance data in ecology to recommender systems. In many cases, an MDF exhibits simultaneously main effects, such as row, column or group effects and interactions, for which a low-rank model has often been suggested. Although the literature on low-rank approximations is very substantial, with few exceptions, existing… CONTINUE READING

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