Low-Rank Interactions in Count Data with Covariates

Analysis, imputation, and multiple imputation of count data using covariates. LORI uses a log-linear model where main row and column effects are decomposed as regression terms on known covariates. A residual low-rank interaction term is also fitted. LORI returns estimates of covariate effects and interactions, as well as an imputed count table. The package also contains a multiple imputation procedure.

Package for the analysis of low-rank interaction contingency tables


Reference manual

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2.0.0 by Genevieve Robin, 5 hours ago

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

Authors: Genevieve Robin [aut, cre]

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

Imports psych, svd, NLRoot, FactoMineR, glmnet, pdist, lars, ade4, lattice, gridExtra, grid, grDevices, stats, graphics, data.table, doParallel, parallel, corpcor, foreach

Suggests knitr, rmarkdown, testthat

See at CRAN