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Incomplete Matrix Regression

0packages depend
1.1Kdownloads / year
69.7%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.0
  • Article explaining the framework is uploaded to arXiv and is cited in (inst/CITATION).
  • Improved console output of the print() and summary() methods.
  • Added normalization to the similarity matrices as described in the Appendix of the article.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK8 OK2026-07-11
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 487 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
25 (1 internal)includes a package overview page
Examples that run
100%23 run in a plain check
Exported functions with examples
100%
Documented parameters
88%
Return-value docs
100%
Help pages citing references
16%

Downloads

1.1K
CRAN downloads in the past year
Rank #12,864 · ~3/day · ~88/mo
Daily download trend is not available in this view yet.
25430 days
88590 days
1.1K1 year
Compare downloads with other packages →
Also on45 r2u2 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
1Releases
232Commits
2Commit identities
License file reads as GPL-3.0 · 232 commits · Last activity 2026-07-30 · Default branch at 1.0.0.9000, ahead of CRAN 1.0.0 (checked 2026-10-21)
Responsiveness
not measured

Commits over time

2026-07-12 · 2312026-08-02 · 232
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/khaledfouda/imr on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing IMR adds 11 packages (9 with compiled code, 15 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, maps 2.2 MB.

Depends (1)
R >= 3.5
Imports (10)
fieldsirlbaMASSMatrixmethodsparallelRcppRSpectrastatsutils
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2026)
Thesis advisor, Contributor
Thesis advisor, Contributor
Copyright holder, Contributor
Authored original fast.svd R implementation in the corpcor package
Releases (1)
  • 1.0.0Latest
    2026-07-10 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-10
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5
Bundled data
131 KB / 1 file
Download size
600 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("IMR")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.48550/arxiv.2606.26325.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IMR version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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