Package: mpem 0.1.0
Hanzhang Lu
mpem: Matrix Partial EM for Incomplete Matrix-Normal Data
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>.
Authors:
mpem_0.1.0.tar.gz
mpem_0.1.0.zip(r-4.7-x86_64)mpem_0.1.0.zip(r-4.7-arm64)mpem_0.1.0.zip(r-4.6-x86_64)mpem_0.1.0.zip(r-4.6-arm64)
mpem_0.1.0.tar.gz(r-4.7-arm64)mpem_0.1.0.tar.gz(r-4.7-x86_64)mpem_0.1.0.tar.gz(r-4.6-arm64)mpem_0.1.0.tar.gz(r-4.6-x86_64)
mpem_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mpem/json (API)
| # Install 'mpem' in R: |
| install.packages('mpem', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lhzmix/mpem/issues
Last updated from:dd3fe80d6f. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 94 | ||
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 174 | ||
| linux-release-arm64 | OK | 89 | ||
| linux-release-x86_64 | OK | 114 | ||
| windows-devel-arm64 | OK | 216 | ||
| windows-devel-x86_64 | OK | 134 | ||
| windows-release-arm64 | OK | 215 | ||
| windows-release-x86_64 | OK | 111 | ||
| wasm-release | OK | 92 |
Exports:mpem
Dependencies:RcppRcppArmadillo
