Matrix Partial EM for Incomplete Matrix-Normal Data R package mpem version 0.1.0 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" <doi:10.48550/arXiv.2609.00616>. Software Depends: R (>= 4.1.0) Imports: Rcpp, stats LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Hanzhang Lu <hanzhang.lu@ubc.ca> Comprehensive R Archive Network (CRAN) Hanzhang Lu [aut, cre, cph], Jeffrey L. Andrews [aut, ths], Ryan P. Browne [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=mpem/LICENSE) 2026-09-18 application/tgz https://CRAN.R-project.org/package=mpem doi:10.32614/CRAN.package.mpem