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mimi

Main Effects and Interactions in Mixed and Incomplete Data

Installation

About

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) .

Key Metrics

Version 0.2.0
R ≥ 2.10
Published 2019-03-07 1883 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Genevieve Robin

genevieve.robin@polytechnique.edu

Authors

Geneviève Robin

Material

Reference manual
Package source

In Views

MissingData

macOS

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arm64

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arm64

r-release

x86_64

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x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mimi archive

Depends

R ≥ 2.10

Imports

glmnet
softImpute
stats
FactoMineR
parallel
doParallel
foreach
data.table
rARPACK

Suggests

knitr
rmarkdown