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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "IMR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'IMR: Incomplete Matrix Regression'
version: 1.0.0
doi: 10.48550/arXiv.2606.26325
abstract: 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) <https://doi.org/10.48550/arXiv.2606.26325>.
authors:
- family-names: Fouda
  given-names: Khaled
  email: khaled.fouda@hec.ca
  orcid: https://orcid.org/0009-0000-3688-8767
preferred-citation:
  type: generic
  title: Incomplete Matrix Regression
  authors:
  - family-names: Fouda
    given-names: Khaled
    email: khaled.fouda@hec.ca
    orcid: https://orcid.org/0009-0000-3688-8767
  - family-names: Labbe
    given-names: Aurélie
  - family-names: Oualkacha
    given-names: Karim
  year: '2026'
  doi: 10.48550/arXiv.2606.26325
  url: https://arxiv.org/abs/2606.26325
  notes: Submitted to the Journal of the American Statistical Association
repository: https://cran.r-universe.dev
repository-code: https://github.com/khaledfouda/IMR
commit: e7b8dd494790eb9fcda68d656bd41cda0ab5d80f
url: https://github.com/khaledfouda/IMR
date-released: '2026-07-10'
contact:
- family-names: Fouda
  given-names: Khaled
  email: khaled.fouda@hec.ca
  orcid: https://orcid.org/0009-0000-3688-8767