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 |
Please use the canonical form https://CRAN.R-project.org/package=lori to link to this page.