lori: 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.

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Package details

AuthorGenevieve Robin [aut, cre]
MaintainerGenevieve Robin <[email protected]>
Package repositoryView on CRAN
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lori documentation built on March 7, 2019, 9:05 a.m.