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 |
| Reference manual: | lori.pdf |
| Package source: | lori_2.1.3.tar.gz |
| Windows binaries: | r-devel: lori_2.1.3.zip, r-devel-gcc8: 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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