genevievelrobin/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.

Getting started

Package details

MaintainerGenevieve Robin <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
genevievelrobin/lori documentation built on May 17, 2019, 11:14 p.m.