lori: Imputation of Count Data using Side Information

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.

Version: 2.1.3
Depends: stats, data.table, FactoMineR, rARPACK, svd
Suggests: knitr, rmarkdown, testthat
Published: 2019-03-29
Author: Genevieve Robin [aut, cre]
Maintainer: Genevieve Robin <genevieve.robin at polytechnique.edu>
License: GPL-3
NeedsCompilation: no
Materials: README
In views: MissingData
CRAN checks: lori results

Downloads:

Reference manual: lori.pdf
Package source: lori_2.1.3.tar.gz
Windows binaries: r-devel: lori_2.1.3.zip, r-release: lori_2.1.3.zip, r-oldrel: lori_2.1.3.zip
OS X binaries: r-release: lori_2.1.3.tgz, r-oldrel: lori_2.1.3.tgz
Old sources: lori archive

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