lori: Imputation of High-Dimensional Count Data using Side Information

Analysis, imputation, and multiple imputation of count data using covariates. LORI uses a log-linear Poisson model where main row and column effects, as well as effects of known covariates and interaction terms can be fitted. The estimation procedure is based on the convex optimization of the Poisson loss penalized by a Lasso type penalty and a nuclear norm. LORI returns estimates of main effects, covariate effects and interactions, as well as an imputed count table. The package also contains a multiple imputation procedure. The methods are described in Robin, Josse, Moulines and Sardy (2019) <arXiv:1703.02296v4>.

Package details

AuthorGenevieve Robin [aut, cre]
MaintainerGenevieve Robin <genevieve.robin@cnrs.fr>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the lori package in your browser

Any scripts or data that you put into this service are public.

lori documentation built on Dec. 16, 2020, 5:08 p.m.