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IMR  

Incomplete Matrix Regression
View on CRAN: Click here


Download and install IMR package within the R console
Install from CRAN:
install.packages("IMR")

Install from Github:
library("remotes")
install_github("cran/IMR")

Install by package version:
library("remotes")
install_version("IMR", "1.0.0")



Attach the package and use:
library("IMR")
Maintained by
Khaled Fouda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-10
Latest Update: 2026-07-10
Description:
A framework for matrix completion and regression on response matrices with missing values. The model estimates missing entries using any combination of intercepts, row and column covariates, and a low-rank matrix approximation. It applies Lasso penalties on the covariates and a nuclear norm penalty on the low-rank component. It also adjusts for correlation within the rows and columns of the target matrix using similarity matrices. The framework is described in Fouda, Labbe and Oualkacha (2026) <doi:10.48550/arXiv.2606.26325>.
How to cite:
Khaled Fouda (2026). IMR: Incomplete Matrix Regression. R package version 1.0.0, https://cran.r-project.org/web/packages/IMR. Accessed 04 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited IMR R package
View IMR citation profile
Other R packages that IMR depends, imports, suggests or enhances
Complete documentation for IMR
Functions, R codes and Examples using the IMR R package
Full IMR package functions and examples
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