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mpem
View on CRAN: Click
here
Download and install mpem package within the R console
Install from CRAN:
install.packages("mpem")
Install from Github:
library("remotes")
install_github("cran/mpem") Install by package version:
library("remotes")
install_version("mpem", "0.1.0") Attach the package and use:
library("mpem")
Maintained by
Hanzhang Lu
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[Scholar Profile | Author Map]
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First Published: 2026-09-18
Latest Update: 2026-09-18
Description:
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>.
How to cite:
Hanzhang Lu (2026). mpem: Matrix Partial EM for Incomplete Matrix-Normal Data. R package version 0.1.0, https://cran.r-project.org/web/packages/mpem. Accessed 04 Oct. 2026.
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