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lori
View on CRAN: Click
here
Download and install lori package within the R console
Install from CRAN:
install.packages("lori")
Install from Github:
library("remotes")
install_github("cran/lori") Install by package version:
library("remotes")
install_version("lori", "2.2.3") Attach the package and use:
library("lori")
Maintained by
Genevieve Robin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-27
Latest Update: 2024-11-18
Description:
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) .
How to cite:
Genevieve Robin (2018). lori: Imputation of High-Dimensional Count Data using Side Information. R package version 2.2.3, https://cran.r-project.org/web/packages/lori. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:54), 0.1.0 (2018-02-27 11:31), 0.2.0 (2018-09-12 13:40), 0.2.1 (2018-10-05 09:20), 1.0.0 (2018-11-16 12:20), 2.0.0 (2019-02-19 15:20), 2.1.1 (2019-02-26 16:40), 2.1.2 (2019-03-07 07:20), 2.1.3 (2019-03-29 10:10), 2.2.0 (2019-12-10 23:40), 2.2.1 (2020-11-26 14:10), 2.2.2 (2020-12-16 15:00)
Other packages that cited lori R package
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Other R packages that lori depends,
imports, suggests or enhances
Complete documentation for lori
Functions, R codes and Examples using
the lori R package
Some associated functions: aravo . covmat . cv.lori . lori . mi.lori . pool.lori . qut .
Some associated R codes: altmin.R . aravo.R . covmat.R . cv.lori.R . grad.R . lori.R . mcgd.R . mi.lori.R . pool.lori.R . qut.R . Full lori package functions and examples
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