Analysis of count data with 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.
| Version: | 1.0.0 |
| Imports: | psych, svd, NLRoot, FactoMineR, glmnet, pdist, lars, ade4, lattice, gridExtra, grid, grDevices, stats, graphics |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2018-11-16 |
| Author: | Genevieve Robin [aut, cre] |
| Maintainer: | Genevieve Robin <genevieve.robin at polytechnique.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | lori results |
| Reference manual: | lori.pdf |
| Vignettes: |
Analysis of count data with covariates in R using LORI - tutorial |
| Package source: | lori_1.0.0.tar.gz |
| Windows binaries: | r-devel: lori_1.0.0.zip, r-release: lori_1.0.0.zip, r-oldrel: lori_1.0.0.zip |
| OS X binaries: | r-release: lori_1.0.0.tgz, r-oldrel: lori_1.0.0.tgz |
| Old sources: | lori archive |
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