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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "mpem" in publications use:'
type: software
license: MIT
title: 'mpem: Matrix Partial EM for Incomplete Matrix-Normal Data'
version: 0.1.0
doi: 10.32614/CRAN.package.mpem
abstract: Fits single-component and finite-mixture Kronecker-structured matrix-normal
  models and imputes incomplete matrix-variate data using matrix partial expectation-maximization.
  General MPEM handles arbitrary missingness, while Rect-MPEM exploits rectangular
  structural missingness. The methods are described in Lu, Andrews and Browne (2026)
  "An Efficient EM Algorithm for Both Element-Wise and Structural Missingness in Matrix-Variate
  Normal Mixture Models" <https://doi.org/10.48550/arXiv.2609.00616>.
authors:
- family-names: Lu
  given-names: Hanzhang
  email: hanzhang.lu@ubc.ca
- family-names: Andrews
  given-names: Jeffrey L.
- family-names: Browne
  given-names: Ryan P.
repository: https://lhzmix.r-universe.dev
repository-code: https://github.com/LHZMix/MPEM
commit: e20374dcf52f91553829893768adaf105fcaf00b
url: https://github.com/LHZMix/MPEM
date-released: '2026-09-07'
contact:
- family-names: Lu
  given-names: Hanzhang
  email: hanzhang.lu@ubc.ca